README.md

<!-- markdownlint-disable -->
<h1 align="center">
    Best-of Machine Learning with Python
    <br>
</h1>

<p align="center">
    <strong>🏆&nbsp; A ranked list of awesome machine learning Python libraries. Updated weekly.</strong>
</p>

<p align="center">
    <a href="https://github.com/ml-tooling/best-of" title="Best-of-badge"><img src="http://bit.ly/3o3EHNN"></a>
    <a href="#Contents" title="Project Count"><img src="https://img.shields.io/badge/projects-910-blue.svg?color=5ac4bf"></a>
    <a href="#Contribution" title="Contributions are welcome"><img src="https://img.shields.io/badge/contributions-welcome-green.svg"></a>
    <a href="https://github.com/ml-tooling/best-of-ml-python/releases" title="Best-of Updates"><img src="https://img.shields.io/github/release-date/ml-tooling/best-of-ml-python?color=green&label=updated"></a>
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This curated list contains 910 awesome open-source projects with a total of 3.5M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome!

---

<p align="center">
     🧙‍♂️&nbsp; Discover other <a href="https://best-of.org">best-of lists</a> or create <a href="https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md">your own</a>.<br>
    📫&nbsp; Subscribe to our <a href="https://mltooling.substack.com/subscribe">newsletter</a> for updates and trending projects.
</p>

---


## Contents

- [Machine Learning Frameworks](#machine-learning-frameworks) _58 projects_
- [Data Visualization](#data-visualization) _54 projects_
- [Text Data & NLP](#text-data--nlp) _100 projects_
- [Image Data](#image-data) _64 projects_
- [Graph Data](#graph-data) _36 projects_
- [Audio Data](#audio-data) _29 projects_
- [Geospatial Data](#geospatial-data) _22 projects_
- [Financial Data](#financial-data) _25 projects_
- [Time Series Data](#time-series-data) _28 projects_
- [Medical Data](#medical-data) _20 projects_
- [Tabular Data](#tabular-data) _5 projects_
- [Optical Character Recognition](#optical-character-recognition) _12 projects_
- [Data Containers & Structures](#data-containers--structures) _1 projects_
- [Data Loading & Extraction](#data-loading--extraction) _1 projects_
- [Web Scraping & Crawling](#web-scraping--crawling) _1 projects_
- [Data Pipelines & Streaming](#data-pipelines--streaming) _1 projects_
- [Distributed Machine Learning](#distributed-machine-learning) _36 projects_
- [Hyperparameter Optimization & AutoML](#hyperparameter-optimization--automl) _52 projects_
- [Reinforcement Learning](#reinforcement-learning) _23 projects_
- [Recommender Systems](#recommender-systems) _17 projects_
- [Privacy Machine Learning](#privacy-machine-learning) _7 projects_
- [Workflow & Experiment Tracking](#workflow--experiment-tracking) _39 projects_
- [Model Serialization & Deployment](#model-serialization--deployment) _20 projects_
- [Model Interpretability](#model-interpretability) _54 projects_
- [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _12 projects_
- [Probabilistics & Statistics](#probabilistics--statistics) _23 projects_
- [Adversarial Robustness](#adversarial-robustness) _9 projects_
- [GPU & Accelerator Utilities](#gpu--accelerator-utilities) _20 projects_
- [Tensorflow Utilities](#tensorflow-utilities) _16 projects_
- [Jax Utilities](#jax-utilities) _3 projects_
- [Sklearn Utilities](#sklearn-utilities) _19 projects_
- [Pytorch Utilities](#pytorch-utilities) _32 projects_
- [Database Clients](#database-clients) _1 projects_
- [Others](#others) _65 projects_

## Explanation
- 🥇🥈🥉&nbsp; Combined project-quality score
- ⭐️&nbsp; Star count from GitHub
- 🐣&nbsp; New project _(less than 6 months old)_
- 💤&nbsp; Inactive project _(6 months no activity)_
- 💀&nbsp; Dead project _(12 months no activity)_
- 📈📉&nbsp; Project is trending up or down
- ➕&nbsp; Project was recently added
- ❗️&nbsp; Warning _(e.g. missing/risky license)_
- 👨‍💻&nbsp; Contributors count from GitHub
- 🔀&nbsp; Fork count from GitHub
- 📋&nbsp; Issue count from GitHub
- ⏱️&nbsp; Last update timestamp on package manager
- 📥&nbsp; Download count from package manager
- 📦&nbsp; Number of dependent projects
- <img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13">&nbsp; Tensorflow related project
- <img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13">&nbsp; Sklearn related project
- <img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13">&nbsp; PyTorch related project
- <img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13">&nbsp; MxNet related project
- <img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13">&nbsp; Apache Spark related project
- <img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13">&nbsp; Jupyter related project
- <img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13">&nbsp; PaddlePaddle related project
- <img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13">&nbsp; Pandas related project
- <img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13">&nbsp; Jax related project

<br>

## Machine Learning Frameworks

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_General-purpose machine learning and deep learning frameworks._

<details><summary><b><a href="https://github.com/scikit-learn/scikit-learn">scikit-learn</a></b> (🥇52 ·  ⭐ 52K) - scikit-learn: machine learning in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 2.8K · 🔀 24K · 📥 830 · 📦 410K · 📋 10K - 20% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/scikit-learn/scikit-learn
	```
- [PyPi](https://pypi.org/project/scikit-learn) (📥 37M / month · 📦 26K · ⏱️ 05.08.2022):
	```
	pip install scikit-learn
	```
- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 17M · ⏱️ 27.10.2022):
	```
	conda install -c conda-forge scikit-learn
	```
</details>
<details><summary><b><a href="https://github.com/pytorch/pytorch">PyTorch</a></b> (🥇50 ·  ⭐ 60K) - Tensors and Dynamic neural networks in Python with strong GPU.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 3.7K · 🔀 17K · 📥 7.8K · 📋 30K - 34% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/pytorch/pytorch
	```
- [PyPi](https://pypi.org/project/torch) (📥 8.6M / month · 📦 7.6K · ⏱️ 28.06.2022):
	```
	pip install torch
	```
- [Conda](https://anaconda.org/pytorch/pytorch) (📥 21M · ⏱️ 26.10.2022):
	```
	conda install -c pytorch pytorch
	```
</details>
<details><summary><b><a href="https://github.com/keras-team/keras">Keras</a></b> (🥇45 ·  ⭐ 57K) - Deep Learning for humans. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/keras-team/keras) (👨‍💻 1.1K · 🔀 19K · 📋 12K - 2% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/keras-team/keras
	```
- [PyPi](https://pypi.org/project/keras) (📥 10M / month · 📦 330 · ⏱️ 13.05.2022):
	```
	pip install keras
	```
- [Conda](https://anaconda.org/conda-forge/keras) (📥 2.7M · ⏱️ 04.09.2022):
	```
	conda install -c conda-forge keras
	```
</details>
<details><summary><b><a href="https://github.com/dmlc/xgboost">XGBoost</a></b> (🥇44 ·  ⭐ 23K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/dmlc/xgboost) (👨‍💻 580 · 🔀 8.5K · 📥 5.4K · 📦 38K · 📋 4.7K - 7% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/dmlc/xgboost
	```
- [PyPi](https://pypi.org/project/xgboost) (📥 8.6M / month · 📦 1.4K · ⏱️ 09.05.2022):
	```
	pip install xgboost
	```
- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 3.3M · ⏱️ 07.11.2022):
	```
	conda install -c conda-forge xgboost
	```
</details>
<details><summary><b><a href="https://github.com/google/jax">jax</a></b> (🥇44 ·  ⭐ 21K) - Composable transformations of Python+NumPy programs: differentiate,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/google/jax) (👨‍💻 470 · 🔀 1.9K · 📦 6K · 📋 3.9K - 30% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/google/jax
	```
- [PyPi](https://pypi.org/project/jax) (📥 590K / month · 📦 320 · ⏱️ 28.06.2022):
	```
	pip install jax
	```
- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 500K · ⏱️ 05.11.2022):
	```
	conda install -c conda-forge jaxlib
	```
</details>
<details><summary><b><a href="https://github.com/statsmodels/statsmodels">StatsModels</a></b> (🥇44 ·  ⭐ 7.9K) - Statsmodels: statistical modeling and econometrics in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/statsmodels/statsmodels) (👨‍💻 390 · 🔀 2.6K · 📥 26 · 📦 73K · 📋 5K - 48% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/statsmodels/statsmodels
	```
- [PyPi](https://pypi.org/project/statsmodels) (📥 9.2M / month · 📦 4.7K · ⏱️ 08.02.2022):
	```
	pip install statsmodels
	```
- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 7.8M · ⏱️ 04.11.2022):
	```
	conda install -c conda-forge statsmodels
	```
</details>
<details><summary><b><a href="https://github.com/apache/spark">PySpark</a></b> (🥈43 ·  ⭐ 34K) - Apache Spark Python API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/apache/spark) (👨‍💻 2.8K · 🔀 26K · ⏱️ 10.11.2022):

	```
	git clone https://github.com/apache/spark
	```
- [PyPi](https://pypi.org/project/pyspark) (📥 27M / month · 📦 850 · ⏱️ 15.06.2022):
	```
	pip install pyspark
	```
- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 2.1M · ⏱️ 25.10.2022):
	```
	conda install -c conda-forge pyspark
	```
</details>
<details><summary><b><a href="https://github.com/PaddlePaddle/Paddle">PaddlePaddle</a></b> (🥈42 ·  ⭐ 19K) - PArallel Distributed Deep LEarning: Machine Learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 850 · 🔀 4.8K · 📥 15K · 📦 170 · 📋 17K - 17% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/PaddlePaddle/Paddle
	```
- [PyPi](https://pypi.org/project/paddlepaddle) (📥 90K / month · 📦 50 · ⏱️ 05.07.2022):
	```
	pip install paddlepaddle
	```
</details>
<details><summary><b><a href="https://github.com/microsoft/LightGBM">LightGBM</a></b> (🥈42 ·  ⭐ 14K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 270 · 🔀 3.6K · 📥 170K · 📦 16K · 📋 2.9K - 8% open · ⏱️ 06.11.2022):

	```
	git clone https://github.com/microsoft/LightGBM
	```
- [PyPi](https://pypi.org/project/lightgbm) (📥 7.1M / month · 📦 640 · ⏱️ 07.01.2022):
	```
	pip install lightgbm
	```
- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 1.3M · ⏱️ 28.10.2022):
	```
	conda install -c conda-forge lightgbm
	```
</details>
<details><summary><b><a href="https://github.com/Lightning-AI/lightning">pytorch-lightning</a></b> (🥈41 ·  ⭐ 21K · 📈) - Build and train PyTorch models and connect them to.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/Lightning-AI/lightning) (👨‍💻 800 · 🔀 2.6K · 📥 9.1K · 📦 110 · 📋 5.7K - 11% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/Lightning-AI/lightning
	```
- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 3.5M / month · 📦 400 · ⏱️ 01.06.2022):
	```
	pip install pytorch-lightning
	```
- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 600K · ⏱️ 23.09.2022):
	```
	conda install -c conda-forge pytorch-lightning
	```
</details>
<details><summary><b><a href="https://github.com/fastai/fastai">Fastai</a></b> (🥈40 ·  ⭐ 23K) - The fastai deep learning library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/fastai/fastai) (👨‍💻 650 · 🔀 7.3K · 📦 12K · 📋 1.7K - 7% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/fastai/fastai
	```
- [PyPi](https://pypi.org/project/fastai) (📥 370K / month · 📦 300 · ⏱️ 04.07.2022):
	```
	pip install fastai
	```
</details>
<details><summary><b><a href="https://github.com/jina-ai/jina">Jina</a></b> (🥈39 ·  ⭐ 17K) - Build cross-modal and multimodal applications on the cloud Neural Search.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/jina-ai/jina) (👨‍💻 160 · 🔀 2K · 📦 380 · 📋 1.7K - 1% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/jina-ai/jina
	```
- [PyPi](https://pypi.org/project/jina) (📥 84K / month · 📦 2 · ⏱️ 06.07.2022):
	```
	pip install jina
	```
- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 30K · ⏱️ 16.08.2022):
	```
	conda install -c conda-forge jina-core
	```
- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.1M · ⭐ 7 · ⏱️ 10.11.2022):
	```
	docker pull jinaai/jina
	```
</details>
<details><summary><b><a href="https://github.com/catboost/catboost">Catboost</a></b> (🥈39 ·  ⭐ 6.8K) - A fast, scalable, high performance Gradient Boosting on Decision.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/catboost/catboost) (👨‍💻 1K · 🔀 1.1K · 📥 96K · 📋 1.9K - 23% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/catboost/catboost
	```
- [PyPi](https://pypi.org/project/catboost) (📥 2.4M / month · 📦 240 · ⏱️ 19.05.2022):
	```
	pip install catboost
	```
- [Conda](https://anaconda.org/conda-forge/catboost) (📥 1.2M · ⏱️ 01.11.2022):
	```
	conda install -c conda-forge catboost
	```
</details>
<details><summary><b><a href="https://github.com/apache/mxnet">MXNet</a></b> (🥈38 ·  ⭐ 20K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/apache/mxnet) (👨‍💻 980 · 🔀 6.9K · 📥 26K · 📋 9.5K - 18% open · ⏱️ 26.09.2022):

	```
	git clone https://github.com/apache/incubator-mxnet
	```
- [PyPi](https://pypi.org/project/mxnet) (📥 400K / month · 📦 280 · ⏱️ 17.05.2022):
	```
	pip install mxnet
	```
- [Conda](https://anaconda.org/anaconda/mxnet) (📥 8.5K · 📦 5 · ⏱️ 24.10.2022):
	```
	conda install -c anaconda mxnet
	```
</details>
<details><summary><b><a href="https://github.com/apache/flink">PyFlink</a></b> (🥈37 ·  ⭐ 20K) - Apache Flink Python API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/apache/flink) (👨‍💻 1.7K · 🔀 11K · ⏱️ 10.11.2022):

	```
	git clone https://github.com/apache/flink
	```
- [PyPi](https://pypi.org/project/apache-flink) (📥 67K / month · 📦 16 · ⏱️ 05.07.2022):
	```
	pip install apache-flink
	```
</details>
<details><summary><b><a href="https://github.com/Theano/Theano">Theano</a></b> (🥈37 ·  ⭐ 9.6K · 💤) - Theano was a Python library that allows you to define, optimize, and.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/Theano/Theano) (👨‍💻 380 · 🔀 2.5K · 📦 13K · 📋 2.8K - 24% open · ⏱️ 23.11.2021):

	```
	git clone https://github.com/Theano/Theano
	```
- [PyPi](https://pypi.org/project/theano) (📥 270K / month · 📦 2.8K · ⏱️ 27.07.2020):
	```
	pip install theano
	```
- [Conda](https://anaconda.org/conda-forge/theano) (📥 2.2M · ⏱️ 16.03.2022):
	```
	conda install -c conda-forge theano
	```
</details>
<details><summary><b><a href="https://github.com/explosion/thinc">Thinc</a></b> (🥈36 ·  ⭐ 2.6K) - A refreshing functional take on deep learning, compatible with your favorite.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/explosion/thinc) (👨‍💻 56 · 🔀 260 · 📦 25K · 📋 140 - 18% open · ⏱️ 04.11.2022):

	```
	git clone https://github.com/explosion/thinc
	```
- [PyPi](https://pypi.org/project/thinc) (📥 3.8M / month · 📦 620 · ⏱️ 22.06.2022):
	```
	pip install thinc
	```
- [Conda](https://anaconda.org/conda-forge/thinc) (📥 2.3M · ⏱️ 20.10.2022):
	```
	conda install -c conda-forge thinc
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/tensorflow">Tensorflow</a></b> (🥈35 ·  ⭐ 170K · 📉) - An Open Source Machine Learning Framework for Everyone. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/tensorflow) (👨‍💻 890 · 🔀 87K):

	```
	git clone https://github.com/tensorflow/tensorflow
	```
- [PyPi](https://pypi.org/project/tensorflow) (📥 16M / month · 📦 14K · ⏱️ 06.09.2022):
	```
	pip install tensorflow
	```
- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 3.8M · ⏱️ 25.09.2022):
	```
	conda install -c conda-forge tensorflow
	```
- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 69M · ⭐ 2.1K · ⏱️ 10.11.2022):
	```
	docker pull tensorflow/tensorflow
	```
</details>
<details><summary><b><a href="https://github.com/VowpalWabbit/vowpal_wabbit">Vowpal Wabbit</a></b> (🥈35 ·  ⭐ 8.1K) - Vowpal Wabbit is a machine learning system which pushes the.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨‍💻 320 · 🔀 1.8K · 📋 1.2K - 12% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/VowpalWabbit/vowpal_wabbit
	```
- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 130K / month · 📦 31 · ⏱️ 06.04.2022):
	```
	pip install vowpalwabbit
	```
- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (📥 87K · ⏱️ 09.11.2022):
	```
	conda install -c conda-forge vowpalwabbit
	```
</details>
<details><summary><b><a href="https://github.com/chainer/chainer">Chainer</a></b> (🥈35 ·  ⭐ 5.7K) - A flexible framework of neural networks for deep learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/chainer/chainer) (👨‍💻 320 · 🔀 1.4K · 📦 2.8K · 📋 2K - 0% open · ⏱️ 17.10.2022):

	```
	git clone https://github.com/chainer/chainer
	```
- [PyPi](https://pypi.org/project/chainer) (📥 20K / month · 📦 400 · ⏱️ 05.01.2022):
	```
	pip install chainer
	```
- [Conda](https://anaconda.org/conda-forge/chainer) (📥 11K · ⏱️ 21.01.2022):
	```
	conda install -c conda-forge chainer
	```
</details>
<details><summary><b><a href="https://github.com/google/flax">Flax</a></b> (🥈35 ·  ⭐ 3.7K) - Flax is a neural network library for JAX that is designed for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/google/flax) (👨‍💻 180 · 🔀 410 · 📥 42 · 📦 1.6K · 📋 630 - 18% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/google/flax
	```
- [PyPi](https://pypi.org/project/flax) (📥 270K / month · 📦 75 · ⏱️ 21.06.2022):
	```
	pip install flax
	```
- [Conda](https://anaconda.org/conda-forge/flax) (📥 14K · ⏱️ 04.10.2022):
	```
	conda install -c conda-forge flax
	```
</details>
<details><summary><b><a href="https://github.com/ludwig-ai/ludwig">Ludwig</a></b> (🥉33 ·  ⭐ 8.6K) - Data-centric declarative deep learning framework. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 130 · 🔀 1K · 📦 140 · 📋 890 - 25% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/ludwig-ai/ludwig
	```
- [PyPi](https://pypi.org/project/ludwig) (📥 1.7K / month · 📦 9 · ⏱️ 25.06.2022):
	```
	pip install ludwig
	```
</details>
<details><summary><b><a href="https://github.com/unifyai/ivy">ivy</a></b> (🥉33 ·  ⭐ 7.4K) - The Unified Machine Learning Framework. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/unifyai/ivy) (👨‍💻 550 · 🔀 2.3K · 📋 3.2K - 17% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/unifyai/ivy
	```
- [PyPi](https://pypi.org/project/ivy-core) (📥 230 / month · 📦 6 · ⏱️ 01.06.2022):
	```
	pip install ivy-core
	```
</details>
<details><summary><b><a href="https://github.com/pytorch/ignite">Ignite</a></b> (🥉33 ·  ⭐ 4.1K · 📈) - High-level library to help with training and evaluating neural.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pytorch/ignite) (👨‍💻 180 · 🔀 560 · 📋 1.2K - 12% open · ⏱️ 04.11.2022):

	```
	git clone https://github.com/pytorch/ignite
	```
- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 78K / month · 📦 83 · ⏱️ 07.07.2022):
	```
	pip install pytorch-ignite
	```
- [Conda](https://anaconda.org/pytorch/ignite) (📥 110K · ⏱️ 05.09.2022):
	```
	conda install -c pytorch ignite
	```
</details>
<details><summary><b><a href="https://github.com/ROCmSoftwarePlatform/tensorflow-upstream">tensorflow-upstream</a></b> (🥉33 ·  ⭐ 620) - TensorFlow ROCm port. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (👨‍💻 4.2K · 🔀 74 · 📥 20 · 📋 340 - 19% open · ⏱️ 04.11.2022):

	```
	git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
	```
- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 1.7K / month · 📦 5 · ⏱️ 05.06.2022):
	```
	pip install tensorflow-rocm
	```
</details>
<details><summary><b><a href="https://github.com/apple/turicreate">Turi Create</a></b> (🥉32 ·  ⭐ 11K · 💤) - Turi Create simplifies the development of custom machine.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/apple/turicreate) (👨‍💻 85 · 🔀 1.1K · 📥 7.5K · 📦 320 · 📋 1.8K - 27% open · ⏱️ 29.11.2021):

	```
	git clone https://github.com/apple/turicreate
	```
- [PyPi](https://pypi.org/project/turicreate) (📥 20K / month · 📦 19 · ⏱️ 30.09.2020):
	```
	pip install turicreate
	```
</details>
<details><summary><b><a href="https://github.com/deepmind/sonnet">Sonnet</a></b> (🥉32 ·  ⭐ 9.4K) - TensorFlow-based neural network library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/deepmind/sonnet) (👨‍💻 56 · 🔀 1.3K · 📦 930 · 📋 180 - 14% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/deepmind/sonnet
	```
- [PyPi](https://pypi.org/project/dm-sonnet) (📥 20K / month · 📦 52 · ⏱️ 27.03.2020):
	```
	pip install dm-sonnet
	```
- [Conda](https://anaconda.org/conda-forge/sonnet) (📥 19K · ⏱️ 14.11.2020):
	```
	conda install -c conda-forge sonnet
	```
</details>
<details><summary><b><a href="https://github.com/tensorpack/tensorpack">tensorpack</a></b> (🥉32 ·  ⭐ 6.2K) - A Neural Net Training Interface on TensorFlow, with focus.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorpack/tensorpack) (👨‍💻 58 · 🔀 1.8K · 📥 140 · 📦 1.1K · 📋 1.4K - 0% open · ⏱️ 04.05.2022):

	```
	git clone https://github.com/tensorpack/tensorpack
	```
- [PyPi](https://pypi.org/project/tensorpack) (📥 14K / month · 📦 46 · ⏱️ 22.01.2021):
	```
	pip install tensorpack
	```
- [Conda](https://anaconda.org/conda-forge/tensorpack) (📥 5K · ⏱️ 06.02.2022):
	```
	conda install -c conda-forge tensorpack
	```
</details>
<details><summary><b><a href="https://github.com/arogozhnikov/einops">einops</a></b> (🥉32 ·  ⭐ 5.9K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 22 · 🔀 250 · 📋 130 - 25% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/arogozhnikov/einops
	```
- [PyPi](https://pypi.org/project/einops) (📥 2.1M / month · 📦 260 · ⏱️ 04.03.2022):
	```
	pip install einops
	```
- [Conda](https://anaconda.org/conda-forge/einops) (📥 47K · ⏱️ 04.03.2022):
	```
	conda install -c conda-forge einops
	```
</details>
<details><summary><b><a href="https://github.com/mlpack/mlpack">mlpack</a></b> (🥉32 ·  ⭐ 4.1K) - mlpack: a fast, header-only C++ machine learning library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/mlpack/mlpack) (👨‍💻 300 · 🔀 1.4K · 📋 1.5K - 2% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/mlpack/mlpack
	```
- [PyPi](https://pypi.org/project/mlpack) (📥 3.8K / month · 📦 1 · ⏱️ 28.10.2020):
	```
	pip install mlpack
	```
- [Conda](https://anaconda.org/conda-forge/mlpack) (📥 120K · ⏱️ 02.11.2022):
	```
	conda install -c conda-forge mlpack
	```
</details>
<details><summary><b><a href="https://github.com/skorch-dev/skorch">skorch</a></b> (🥉31 ·  ⭐ 4.8K) - A scikit-learn compatible neural network library that wraps.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/skorch-dev/skorch) (👨‍💻 52 · 🔀 320 · 📦 590 · 📋 460 - 11% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/skorch-dev/skorch
	```
- [PyPi](https://pypi.org/project/skorch) (📥 61K / month · 📦 41 · ⏱️ 31.10.2021):
	```
	pip install skorch
	```
- [Conda](https://anaconda.org/conda-forge/skorch) (📥 660K · ⏱️ 30.11.2021):
	```
	conda install -c conda-forge skorch
	```
</details>
<details><summary><b><a href="https://github.com/microsoft/CNTK">CNTK</a></b> (🥉30 ·  ⭐ 17K) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/microsoft/CNTK) (👨‍💻 270 · 🔀 4.4K · 📥 14K · 📋 3.4K - 24% open · ⏱️ 23.09.2022):

	```
	git clone https://github.com/microsoft/CNTK
	```
- [PyPi](https://pypi.org/project/cntk) (📥 810 / month · 📦 18 · ⏱️ 09.12.2020):
	```
	pip install cntk
	```
</details>
<details><summary><b><a href="https://github.com/sony/nnabla">Neural Network Libraries</a></b> (🥉30 ·  ⭐ 2.6K) - Neural Network Libraries. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/sony/nnabla) (👨‍💻 69 · 🔀 320 · 📥 540 · 📋 92 - 40% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/sony/nnabla
	```
- [PyPi](https://pypi.org/project/nnabla) (📥 2.7K / month · 📦 51 · ⏱️ 19.06.2022):
	```
	pip install nnabla
	```
</details>
<details><summary><b><a href="https://github.com/deepmind/dm-haiku">Haiku</a></b> (🥉30 ·  ⭐ 2.2K) - JAX-based neural network library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/deepmind/dm-haiku) (👨‍💻 65 · 🔀 180 · 📦 610 · 📋 220 - 35% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/deepmind/dm-haiku
	```
- [PyPi](https://pypi.org/project/dm-haiku) (📥 140K / month · 📦 42 · ⏱️ 04.07.2022):
	```
	pip install dm-haiku
	```
- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 6.6K · ⏱️ 21.09.2022):
	```
	conda install -c conda-forge dm-haiku
	```
</details>
<details><summary><b><a href="https://github.com/clab/dynet">dyNET</a></b> (🥉29 ·  ⭐ 3.3K) - DyNet: The Dynamic Neural Network Toolkit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/clab/dynet) (👨‍💻 160 · 🔀 700 · 📥 7.7K · 📦 230 · 📋 930 - 28% open · ⏱️ 14.08.2022):

	```
	git clone https://github.com/clab/dynet
	```
- [PyPi](https://pypi.org/project/dyNET) (📥 14K / month · 📦 28 · ⏱️ 21.10.2020):
	```
	pip install dyNET
	```
</details>
<details><summary><b><a href="https://github.com/amaiya/ktrain">ktrain</a></b> (🥉29 ·  ⭐ 1.1K) - ktrain is a Python library that makes deep learning and AI more.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/amaiya/ktrain) (👨‍💻 15 · 🔀 260 · 📦 350 · 📋 430 - 0% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/amaiya/ktrain
	```
- [PyPi](https://pypi.org/project/ktrain) (📥 20K / month · 📦 3 · ⏱️ 20.05.2022):
	```
	pip install ktrain
	```
</details>
<details><summary><b><a href="https://github.com/towhee-io/towhee">Towhee</a></b> (🥉27 ·  ⭐ 1.6K) - Towhee is a framework that is dedicated to making neural data.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/towhee-io/towhee) (👨‍💻 29 · 🔀 180 · 📥 250 · 📋 500 - 2% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/towhee-io/towhee
	```
- [PyPi](https://pypi.org/project/towhee) (📥 790 / month · ⏱️ 07.07.2022):
	```
	pip install towhee
	```
</details>
<details><summary><b><a href="https://github.com/geomstats/geomstats">Geomstats</a></b> (🥉27 ·  ⭐ 860) - Computations and statistics on manifolds with geometric structures. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/geomstats/geomstats) (👨‍💻 72 · 🔀 190 · 📋 470 - 37% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/geomstats/geomstats
	```
- [PyPi](https://pypi.org/project/geomstats) (📥 1.2K / month · ⏱️ 22.04.2022):
	```
	pip install geomstats
	```
- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 780 · ⏱️ 01.06.2022):
	```
	conda install -c conda-forge geomstats
	```
</details>
<details><summary><b><a href="https://github.com/google/neural-tangents">Neural Tangents</a></b> (🥉26 ·  ⭐ 1.9K) - Fast and Easy Infinite Neural Networks in Python. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/google/neural-tangents) (👨‍💻 23 · 🔀 210 · 📥 260 · 📦 51 · 📋 130 - 38% open · ⏱️ 18.10.2022):

	```
	git clone https://github.com/google/neural-tangents
	```
- [PyPi](https://pypi.org/project/neural-tangents) (📥 3.4K / month · 📦 1 · ⏱️ 23.02.2022):
	```
	pip install neural-tangents
	```
</details>
<details><summary><b><a href="https://github.com/aksnzhy/xlearn">xLearn</a></b> (🥉25 ·  ⭐ 3K) - High performance, easy-to-use, and scalable machine learning (ML).. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/aksnzhy/xlearn) (👨‍💻 30 · 🔀 530 · 📥 3.5K · 📦 99 · 📋 310 - 62% open · ⏱️ 05.06.2022):

	```
	git clone https://github.com/aksnzhy/xlearn
	```
- [PyPi](https://pypi.org/project/xlearn) (📥 6.2K / month · 📦 12 · ⏱️ 04.12.2018):
	```
	pip install xlearn
	```
</details>
<details><summary><b><a href="https://github.com/nubank/fklearn">fklearn</a></b> (🥉25 ·  ⭐ 1.4K) - fklearn: Functional Machine Learning. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/nubank/fklearn) (👨‍💻 50 · 🔀 160 · 📦 13 · 📋 59 - 61% open · ⏱️ 21.10.2022):

	```
	git clone https://github.com/nubank/fklearn
	```
- [PyPi](https://pypi.org/project/fklearn) (📥 5.1K / month · ⏱️ 30.12.2021):
	```
	pip install fklearn
	```
</details>
<details><summary><b><a href="https://github.com/XiaoMi/mace">mace</a></b> (🥉22 ·  ⭐ 4.7K) - MACE is a deep learning inference framework optimized for mobile.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/XiaoMi/mace) (👨‍💻 64 · 🔀 810 · 📥 1.4K · 📋 670 - 8% open · ⏱️ 30.05.2022):

	```
	git clone https://github.com/XiaoMi/mace
	```
</details>
<details><summary><b><a href="https://github.com/Xtra-Computing/thundersvm">ThunderSVM</a></b> (🥉20 ·  ⭐ 1.4K · 💤) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/Xtra-Computing/thundersvm) (👨‍💻 34 · 🔀 200 · 📥 2.5K · 📋 210 - 29% open · ⏱️ 09.04.2022):

	```
	git clone https://github.com/Xtra-Computing/thundersvm
	```
- [PyPi](https://pypi.org/project/thundersvm) (📥 300 / month · ⏱️ 13.03.2020):
	```
	pip install thundersvm
	```
</details>
<details><summary><b><a href="https://github.com/google/objax">Objax</a></b> (🥉20 ·  ⭐ 720) - Objax is a machine learning framework that provides an Object.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/google/objax) (👨‍💻 24 · 🔀 67 · 📦 25 · 📋 110 - 43% open · ⏱️ 30.08.2022):

	```
	git clone https://github.com/google/objax
	```
- [PyPi](https://pypi.org/project/objax) (📥 500 / month · 📦 3 · ⏱️ 31.01.2022):
	```
	pip install objax
	```
</details>
<details><summary><b><a href="https://github.com/neoml-lib/neoml">NeoML</a></b> (🥉20 ·  ⭐ 700) - Machine learning framework for both deep learning and traditional.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/neoml-lib/neoml) (👨‍💻 32 · 🔀 110 · 📋 77 - 37% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/neoml-lib/neoml
	```
- [PyPi](https://pypi.org/project/neoml) (📥 97 / month · ⏱️ 31.05.2022):
	```
	pip install neoml
	```
</details>
<details><summary><b><a href="https://github.com/serengil/chefboost">chefboost</a></b> (🥉19 ·  ⭐ 360) - A Lightweight Decision Tree Framework supporting regular algorithms:.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/serengil/chefboost) (👨‍💻 6 · 🔀 92 · 📦 29 · 📋 31 - 16% open · ⏱️ 21.05.2022):

	```
	git clone https://github.com/serengil/chefboost
	```
- [PyPi](https://pypi.org/project/chefboost) (📥 1.8K / month · ⏱️ 16.02.2022):
	```
	pip install chefboost
	```
</details>
<details><summary><b><a href="https://github.com/Xtra-Computing/thundergbm">ThunderGBM</a></b> (🥉18 ·  ⭐ 650) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨‍💻 10 · 🔀 84 · 📦 2 · 📋 75 - 44% open · ⏱️ 13.09.2022):

	```
	git clone https://github.com/Xtra-Computing/thundergbm
	```
- [PyPi](https://pypi.org/project/thundergbm) (📥 160 / month · ⏱️ 01.05.2020):
	```
	pip install thundergbm
	```
</details>
<details><summary><b><a href="https://github.com/poets-ai/elegy">elegy</a></b> (🥉17 ·  ⭐ 420) - A High Level API for Deep Learning in JAX. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/poets-ai/elegy) (👨‍💻 18 · 🔀 26 · 📋 100 - 35% open · ⏱️ 23.05.2022):

	```
	git clone https://github.com/poets-ai/elegy
	```
- [PyPi](https://pypi.org/project/elegy) (📥 420 / month · ⏱️ 22.04.2022):
	```
	pip install elegy
	```
</details>
<details><summary>Show 10 hidden projects...</summary>

- <b><a href="https://github.com/davisking/dlib">dlib</a></b> (🥈38 ·  ⭐ 12K) - A toolkit for making real world machine learning and data analysis.. <code><a href="https://tldrlegal.com/search?q=BSL-1.0">❗️BSL-1.0</a></code>
- <b><a href="https://github.com/mindsdb/mindsdb">MindsDB</a></b> (🥈34 ·  ⭐ 11K) - In-Database Machine Learning. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/tflearn/tflearn">TFlearn</a></b> (🥉32 ·  ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/numenta/nupic">NuPIC</a></b> (🥉28 ·  ⭐ 6.3K · 💀) - Numenta Platform for Intelligent Computing is an implementation.. <code><a href="http://bit.ly/3pwmjO5">❗️AGPL-3.0</a></code>
- <b><a href="https://github.com/Lasagne/Lasagne">Lasagne</a></b> (🥉28 ·  ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/shogun-toolbox/shogun">SHOGUN</a></b> (🥉26 ·  ⭐ 2.9K · 💀) - Unified and efficient Machine Learning. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/itdxer/neupy">NeuPy</a></b> (🥉24 ·  ⭐ 720 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/NervanaSystems/neon">neon</a></b> (🥉22 ·  ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/pytorchbearer/torchbearer">Torchbearer</a></b> (🥉21 ·  ⭐ 630 · 💀) - torchbearer: A model fitting library for PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/facebookresearch/StarSpace">StarSpace</a></b> (🥉16 ·  ⭐ 3.8K · 💀) - Learning embeddings for classification, retrieval and ranking. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
</details>
<br>

## Data Visualization

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_General-purpose and task-specific data visualization libraries._

<details><summary><b><a href="https://github.com/matplotlib/matplotlib">Matplotlib</a></b> (🥇50 ·  ⭐ 16K) - matplotlib: plotting with Python. <code><a href="http://bit.ly/35wkF7y">Python-2.0</a></code></summary>

- [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.4K · 🔀 6.6K · 📦 650K · 📋 9.4K - 20% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/matplotlib/matplotlib
	```
- [PyPi](https://pypi.org/project/matplotlib) (📥 32M / month · 📦 55K · ⏱️ 08.10.2022):
	```
	pip install matplotlib
	```
- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 14M · ⏱️ 04.11.2022):
	```
	conda install -c conda-forge matplotlib
	```
</details>
<details><summary><b><a href="https://github.com/bokeh/bokeh">Bokeh</a></b> (🥇43 ·  ⭐ 17K) - Interactive Data Visualization in the browser, from Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 620 · 🔀 4K · 📦 170 · 📋 7.1K - 9% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/bokeh/bokeh
	```
- [PyPi](https://pypi.org/project/bokeh) (📥 3.3M / month · 📦 3.6K · ⏱️ 05.07.2022):
	```
	pip install bokeh
	```
- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 9.1M · ⏱️ 07.11.2022):
	```
	conda install -c conda-forge bokeh
	```
</details>
<details><summary><b><a href="https://github.com/mwaskom/seaborn">Seaborn</a></b> (🥇42 ·  ⭐ 10K) - Statistical data visualization in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 180 · 🔀 1.7K · 📥 240 · 📋 2.2K - 4% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/mwaskom/seaborn
	```
- [PyPi](https://pypi.org/project/seaborn) (📥 8.7M / month · 📦 9.4K · ⏱️ 27.06.2022):
	```
	pip install seaborn
	```
- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 5.1M · ⏱️ 18.10.2022):
	```
	conda install -c conda-forge seaborn
	```
</details>
<details><summary><b><a href="https://github.com/plotly/plotly.py">Plotly</a></b> (🥇41 ·  ⭐ 12K · 📉) - The interactive graphing library for Python (includes Plotly Express). <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/plotly/plotly.py) (👨‍💻 200 · 🔀 2.2K · 📦 13 · 📋 2.5K - 51% open · ⏱️ 27.10.2022):

	```
	git clone https://github.com/plotly/plotly.py
	```
- [PyPi](https://pypi.org/project/plotly) (📥 8.1M / month · 📦 4.1K · ⏱️ 24.06.2022):
	```
	pip install plotly
	```
- [Conda](https://anaconda.org/conda-forge/plotly) (📥 3.4M · ⏱️ 29.10.2022):
	```
	conda install -c conda-forge plotly
	```
- [npm](https://www.npmjs.com/package/plotlywidget) (📥 46K / month · 📦 4 · ⏱️ 12.01.2021):
	```
	npm install plotlywidget
	```
</details>
<details><summary><b><a href="https://github.com/plotly/dash">dash</a></b> (🥇40 ·  ⭐ 18K) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/plotly/dash) (👨‍💻 130 · 🔀 1.8K · 📦 37K · 📋 1.4K - 49% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/plotly/dash
	```
- [PyPi](https://pypi.org/project/dash) (📥 1.1M / month · 📦 1.2K · ⏱️ 13.06.2022):
	```
	pip install dash
	```
- [Conda](https://anaconda.org/conda-forge/dash) (📥 690K · ⏱️ 03.11.2022):
	```
	conda install -c conda-forge dash
	```
</details>
<details><summary><b><a href="https://github.com/ydataai/pandas-profiling">pandas-profiling</a></b> (🥇39 ·  ⭐ 9.8K) - Create HTML profiling reports from pandas DataFrame.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/ydataai/pandas-profiling) (👨‍💻 100 · 🔀 1.4K · 📦 9.6K · 📋 620 - 21% open · ⏱️ 20.10.2022):

	```
	git clone https://github.com/ydataai/pandas-profiling
	```
- [PyPi](https://pypi.org/project/pandas-profiling) (📥 1M / month · 📦 160 · ⏱️ 27.09.2021):
	```
	pip install pandas-profiling
	```
- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 300K · ⏱️ 21.10.2022):
	```
	conda install -c conda-forge pandas-profiling
	```
</details>
<details><summary><b><a href="https://github.com/altair-viz/altair">Altair</a></b> (🥇39 ·  ⭐ 7.9K) - Declarative statistical visualization library for Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/altair-viz/altair) (👨‍💻 140 · 🔀 700 · 📦 36K · 📋 1.7K - 15% open · ⏱️ 06.11.2022):

	```
	git clone https://github.com/altair-viz/altair
	```
- [PyPi](https://pypi.org/project/altair) (📥 9.1M / month · 📦 340 · ⏱️ 29.12.2021):
	```
	pip install altair
	```
- [Conda](https://anaconda.org/conda-forge/altair) (📥 1.4M · ⏱️ 29.12.2021):
	```
	conda install -c conda-forge altair
	```
</details>
<details><summary><b><a href="https://github.com/pyqtgraph/pyqtgraph">PyQtGraph</a></b> (🥈36 ·  ⭐ 3K) - Fast data visualization and GUI tools for scientific / engineering.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 240 · 🔀 970 · 📋 1.1K - 29% open · ⏱️ 04.11.2022):

	```
	git clone https://github.com/pyqtgraph/pyqtgraph
	```
- [PyPi](https://pypi.org/project/pyqtgraph) (📥 140K / month · 📦 820 · ⏱️ 04.03.2022):
	```
	pip install pyqtgraph
	```
- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 320K · ⏱️ 03.10.2022):
	```
	conda install -c conda-forge pyqtgraph
	```
</details>
<details><summary><b><a href="https://github.com/lmcinnes/umap">UMAP</a></b> (🥈35 ·  ⭐ 5.9K) - Uniform Manifold Approximation and Projection. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/lmcinnes/umap) (👨‍💻 110 · 🔀 680 · 📦 6.6K · 📋 660 - 54% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/lmcinnes/umap
	```
- [PyPi](https://pypi.org/project/umap-learn) (📥 760K / month · 📦 330 · ⏱️ 13.04.2022):
	```
	pip install umap-learn
	```
- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 1.5M · ⏱️ 14.04.2022):
	```
	conda install -c conda-forge umap-learn
	```
</details>
<details><summary><b><a href="https://github.com/holoviz/holoviews">HoloViews</a></b> (🥈35 ·  ⭐ 2.3K) - With Holoviews, your data visualizes itself. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/holoviz/holoviews) (👨‍💻 130 · 🔀 360 · 📋 2.9K - 32% open · ⏱️ 04.11.2022):

	```
	git clone https://github.com/holoviz/holoviews
	```
- [PyPi](https://pypi.org/project/holoviews) (📥 420K / month · 📦 220 · ⏱️ 07.07.2022):
	```
	pip install holoviews
	```
- [Conda](https://anaconda.org/conda-forge/holoviews) (📥 960K · ⏱️ 04.11.2022):
	```
	conda install -c conda-forge holoviews
	```
- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 930 / month · ⏱️ 24.05.2020):
	```
	npm install @pyviz/jupyterlab_pyviz
	```
</details>
<details><summary><b><a href="https://github.com/pyecharts/pyecharts">pyecharts</a></b> (🥈34 ·  ⭐ 13K) - Python Echarts Plotting Library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pyecharts/pyecharts) (👨‍💻 31 · 🔀 2.7K · 📦 2.6K · 📋 1.6K - 2% open · ⏱️ 30.08.2022):

	```
	git clone https://github.com/pyecharts/pyecharts
	```
- [PyPi](https://pypi.org/project/pyecharts) (📥 68K / month · 📦 220 · ⏱️ 16.11.2021):
	```
	pip install pyecharts
	```
</details>
<details><summary><b><a href="https://github.com/vispy/vispy">VisPy</a></b> (🥈34 ·  ⭐ 3K) - High-performance interactive 2D/3D data visualization library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/vispy/vispy) (👨‍💻 180 · 🔀 600 · 📦 900 · 📋 1.4K - 22% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/vispy/vispy
	```
- [PyPi](https://pypi.org/project/vispy) (📥 50K / month · 📦 100 · ⏱️ 04.07.2022):
	```
	pip install vispy
	```
- [Conda](https://anaconda.org/conda-forge/vispy) (📥 300K · ⏱️ 08.11.2022):
	```
	conda install -c conda-forge vispy
	```
- [npm](https://www.npmjs.com/package/vispy) (📥 24 / month · ⏱️ 15.03.2020):
	```
	npm install vispy
	```
</details>
<details><summary><b><a href="https://github.com/voxel51/fiftyone">FiftyOne</a></b> (🥈34 ·  ⭐ 2.1K) - Visualize, create, and debug image and video datasets.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 57 · 🔀 250 · 📦 190 · 📋 1K - 36% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/voxel51/fiftyone
	```
- [PyPi](https://pypi.org/project/fiftyone) (📥 54K / month · 📦 2 · ⏱️ 24.06.2022):
	```
	pip install fiftyone
	```
</details>
<details><summary><b><a href="https://github.com/pyvista/pyvista">PyVista</a></b> (🥈34 ·  ⭐ 1.5K · 📉) - 3D plotting and mesh analysis through a streamlined interface.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 110 · 🔀 290 · 📥 680 · 📦 1K · 📋 1K - 32% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/pyvista/pyvista
	```
- [PyPi](https://pypi.org/project/pyvista) (📥 73K / month · 📦 110 · ⏱️ 30.06.2022):
	```
	pip install pyvista
	```
- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 250K · ⏱️ 03.11.2022):
	```
	conda install -c conda-forge pyvista
	```
</details>
<details><summary><b><a href="https://github.com/xflr6/graphviz">Graphviz</a></b> (🥈34 ·  ⭐ 1.3K) - Simple Python interface for Graphviz. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 19 · 🔀 180 · 📦 36K · 📋 140 - 4% open · ⏱️ 31.10.2022):

	```
	git clone https://github.com/xflr6/graphviz
	```
- [PyPi](https://pypi.org/project/graphviz) (📥 8.8M / month · 📦 3K · ⏱️ 16.04.2022):
	```
	pip install graphviz
	```
- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 31K · ⏱️ 10.08.2022):
	```
	conda install -c anaconda python-graphviz
	```
</details>
<details><summary><b><a href="https://github.com/has2k1/plotnine">plotnine</a></b> (🥈33 ·  ⭐ 3.2K) - A grammar of graphics for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/has2k1/plotnine) (👨‍💻 99 · 🔀 180 · 📋 530 - 13% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/has2k1/plotnine
	```
- [PyPi](https://pypi.org/project/plotnine) (📥 500K / month · 📦 220 · ⏱️ 01.07.2022):
	```
	pip install plotnine
	```
- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 210K · ⏱️ 10.10.2022):
	```
	conda install -c conda-forge plotnine
	```
</details>
<details><summary><b><a href="https://github.com/holoviz/datashader">datashader</a></b> (🥈33 ·  ⭐ 2.9K) - Quickly and accurately render even the largest data. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/holoviz/datashader) (👨‍💻 51 · 🔀 360 · 📦 1.5K · 📋 520 - 23% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/holoviz/datashader
	```
- [PyPi](https://pypi.org/project/datashader) (📥 54K / month · 📦 96 · ⏱️ 21.06.2022):
	```
	pip install datashader
	```
- [Conda](https://anaconda.org/conda-forge/datashader) (📥 430K · ⏱️ 10.08.2022):
	```
	conda install -c conda-forge datashader
	```
</details>
<details><summary><b><a href="https://github.com/amueller/word_cloud">wordcloud</a></b> (🥈32 ·  ⭐ 9.1K) - A little word cloud generator in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/amueller/word_cloud) (👨‍💻 65 · 🔀 2.2K · 📋 500 - 25% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/amueller/word_cloud
	```
- [PyPi](https://pypi.org/project/wordcloud) (📥 880K / month · 📦 740 · ⏱️ 27.06.2022):
	```
	pip install wordcloud
	```
- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 340K · ⏱️ 25.08.2022):
	```
	conda install -c conda-forge wordcloud
	```
</details>
<details><summary><b><a href="https://github.com/bqplot/bqplot">bqplot</a></b> (🥈31 ·  ⭐ 3.4K) - Plotting library for IPython/Jupyter notebooks. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/bqplot/bqplot) (👨‍💻 59 · 🔀 470 · 📦 35 · 📋 600 - 39% open · ⏱️ 29.09.2022):

	```
	git clone https://github.com/bqplot/bqplot
	```
- [PyPi](https://pypi.org/project/bqplot) (📥 130K / month · 📦 97 · ⏱️ 11.02.2022):
	```
	pip install bqplot
	```
- [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1.1M · ⏱️ 02.09.2022):
	```
	conda install -c conda-forge bqplot
	```
- [npm](https://www.npmjs.com/package/bqplot) (📥 5.8K / month · 📦 11 · ⏱️ 02.09.2022):
	```
	npm install bqplot
	```
</details>
<details><summary><b><a href="https://github.com/man-group/dtale">D-Tale</a></b> (🥈30 ·  ⭐ 3.7K) - Visualizer for pandas data structures. <code><a href="https://tldrlegal.com/search?q=LGPL-2.1">❗️LGPL-2.1</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/man-group/dtale) (👨‍💻 29 · 🔀 310 · 📦 540 · 📋 480 - 9% open · ⏱️ 04.11.2022):

	```
	git clone https://github.com/man-group/dtale
	```
- [PyPi](https://pypi.org/project/dtale) (📥 99K / month · 📦 12 · ⏱️ 17.06.2022):
	```
	pip install dtale
	```
- [Conda](https://anaconda.org/conda-forge/dtale) (📥 170K · ⏱️ 04.11.2022):
	```
	conda install -c conda-forge dtale
	```
</details>
<details><summary><b><a href="https://github.com/jupyter-widgets/pythreejs">pythreejs</a></b> (🥈30 ·  ⭐ 840) - A Jupyter - Three.js bridge. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/jupyter-widgets/pythreejs) (👨‍💻 30 · 🔀 180 · 📦 21 · 📋 220 - 25% open · ⏱️ 25.08.2022):

	```
	git clone https://github.com/jupyter-widgets/pythreejs
	```
- [PyPi](https://pypi.org/project/pythreejs) (📥 72K / month · 📦 42 · ⏱️ 26.02.2021):
	```
	pip install pythreejs
	```
- [Conda](https://anaconda.org/conda-forge/pythreejs) (📥 430K · ⏱️ 06.09.2022):
	```
	conda install -c conda-forge pythreejs
	```
- [npm](https://www.npmjs.com/package/jupyter-threejs) (📥 4.8K / month · 📦 7 · ⏱️ 24.08.2022):
	```
	npm install jupyter-threejs
	```
</details>
<details><summary><b><a href="https://github.com/holoviz/hvplot">hvPlot</a></b> (🥈30 ·  ⭐ 670) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 39 · 🔀 76 · 📦 1.9K · 📋 550 - 38% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/holoviz/hvplot
	```
- [PyPi](https://pypi.org/project/hvplot) (📥 150K / month · 📦 65 · ⏱️ 23.06.2022):
	```
	pip install hvplot
	```
- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 260K · ⏱️ 26.08.2022):
	```
	conda install -c conda-forge hvplot
	```
</details>
<details><summary><b><a href="https://github.com/finos/perspective">Perspective</a></b> (🥉29 ·  ⭐ 5K) - A data visualization and analytics component, especially.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/finos/perspective) (👨‍💻 72 · 🔀 540 · 📦 6 · 📋 580 - 16% open · ⏱️ 07.10.2022):

	```
	git clone https://github.com/finos/perspective
	```
- [PyPi](https://pypi.org/project/perspective-python) (📥 2.3K / month · 📦 9 · ⏱️ 06.06.2022):
	```
	pip install perspective-python
	```
- [Conda](https://anaconda.org/conda-forge/perspective) (📥 190K · ⏱️ 09.10.2022):
	```
	conda install -c conda-forge perspective
	```
- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 930 / month · ⏱️ 07.10.2022):
	```
	npm install @finos/perspective-jupyterlab
	```
</details>
<details><summary><b><a href="https://github.com/ResidentMario/missingno">missingno</a></b> (🥉29 ·  ⭐ 3.4K · 💤) - Missing data visualization module for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/ResidentMario/missingno) (👨‍💻 17 · 🔀 430 · 📦 9.1K · 📋 120 - 6% open · ⏱️ 27.02.2022):

	```
	git clone https://github.com/ResidentMario/missingno
	```
- [PyPi](https://pypi.org/project/missingno) (📥 830K / month · 📦 120 · ⏱️ 27.02.2022):
	```
	pip install missingno
	```
- [Conda](https://anaconda.org/conda-forge/missingno) (📥 240K · ⏱️ 15.02.2020):
	```
	conda install -c conda-forge missingno
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/data-validation">data-validation</a></b> (🥉29 ·  ⭐ 680) - Library for exploring and validating machine learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 25 · 🔀 140 · 📥 370 · 📦 560 · 📋 160 - 22% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/tensorflow/data-validation
	```
- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 1.2M / month · 📦 28 · ⏱️ 29.06.2022):
	```
	pip install tensorflow-data-validation
	```
</details>
<details><summary><b><a href="https://github.com/mpld3/mpld3">mpld3</a></b> (🥉27 ·  ⭐ 2.2K) - D3 Renderings of Matplotlib Graphics. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/mpld3/mpld3) (👨‍💻 51 · 🔀 350 · 📦 30 · 📋 360 - 59% open · ⏱️ 03.08.2022):

	```
	git clone https://github.com/mpld3/mpld3
	```
- [PyPi](https://pypi.org/project/mpld3) (📥 270K / month · 📦 400 · ⏱️ 27.05.2022):
	```
	pip install mpld3
	```
- [Conda](https://anaconda.org/conda-forge/mpld3) (📥 160K · ⏱️ 27.05.2022):
	```
	conda install -c conda-forge mpld3
	```
- [npm](https://www.npmjs.com/package/mpld3) (📥 310 / month · 📦 4 · ⏱️ 27.05.2022):
	```
	npm install mpld3
	```
</details>
<details><summary><b><a href="https://github.com/AutoViML/AutoViz">AutoViz</a></b> (🥉27 ·  ⭐ 980) - Automatically Visualize any dataset, any size with a single line of.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/AutoViML/AutoViz) (👨‍💻 14 · 🔀 130 · 📦 290 · 📋 61 - 4% open · ⏱️ 26.10.2022):

	```
	git clone https://github.com/AutoViML/AutoViz
	```
- [PyPi](https://pypi.org/project/autoviz) (📥 130K / month · 📦 6 · ⏱️ 17.06.2022):
	```
	pip install autoviz
	```
- [Conda](https://anaconda.org/conda-forge/autoviz) (📥 21K · ⏱️ 03.10.2022):
	```
	conda install -c conda-forge autoviz
	```
</details>
<details><summary><b><a href="https://github.com/spotify/chartify">Chartify</a></b> (🥉26 ·  ⭐ 3.2K) - Python library that makes it easy for data scientists to create.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/spotify/chartify) (👨‍💻 23 · 🔀 290 · 📦 69 · 📋 74 - 58% open · ⏱️ 18.10.2022):

	```
	git clone https://github.com/spotify/chartify
	```
- [PyPi](https://pypi.org/project/chartify) (📥 14K / month · 📦 9 · ⏱️ 02.11.2020):
	```
	pip install chartify
	```
- [Conda](https://anaconda.org/conda-forge/chartify) (📥 23K · ⏱️ 07.11.2020):
	```
	conda install -c conda-forge chartify
	```
</details>
<details><summary><b><a href="https://github.com/ContextLab/hypertools">HyperTools</a></b> (🥉26 ·  ⭐ 1.8K · 💤) - A Python toolbox for gaining geometric insights into high-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/ContextLab/hypertools) (👨‍💻 21 · 🔀 160 · 📥 23 · 📦 210 · 📋 200 - 34% open · ⏱️ 12.02.2022):

	```
	git clone https://github.com/ContextLab/hypertools
	```
- [PyPi](https://pypi.org/project/hypertools) (📥 1.2K / month · 📦 10 · ⏱️ 12.02.2022):
	```
	pip install hypertools
	```
</details>
<details><summary><b><a href="https://github.com/JetBrains/lets-plot">lets-plot</a></b> (🥉26 ·  ⭐ 810) - An open-source plotting library for statistical data. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 17 · 🔀 39 · 📥 340 · 📦 18 · 📋 300 - 24% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/JetBrains/lets-plot
	```
- [PyPi](https://pypi.org/project/lets-plot) (📥 2.3K / month · 📦 1 · ⏱️ 20.06.2022):
	```
	pip install lets-plot
	```
</details>
<details><summary><b><a href="https://github.com/pavlin-policar/openTSNE">openTSNE</a></b> (🥉25 ·  ⭐ 1.1K) - Extensible, parallel implementations of t-SNE. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 10 · 🔀 130 · 📦 410 · 📋 110 - 5% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/pavlin-policar/openTSNE
	```
- [PyPi](https://pypi.org/project/opentsne) (📥 82K / month · 📦 11 · ⏱️ 18.03.2022):
	```
	pip install opentsne
	```
- [Conda](https://anaconda.org/conda-forge/opentsne) (📥 170K · ⏱️ 28.10.2022):
	```
	conda install -c conda-forge opentsne
	```
</details>
<details><summary><b><a href="https://github.com/ing-bank/popmon">Popmon</a></b> (🥉24 ·  ⭐ 390) - Monitor the stability of a Pandas or Spark dataframe. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/ing-bank/popmon) (👨‍💻 16 · 🔀 31 · 📥 34 · 📦 17 · 📋 46 - 28% open · ⏱️ 19.10.2022):

	```
	git clone https://github.com/ing-bank/popmon
	```
- [PyPi](https://pypi.org/project/popmon) (📥 32K / month · 📦 2 · ⏱️ 21.06.2022):
	```
	pip install popmon
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/hiplot">HiPlot</a></b> (🥉23 ·  ⭐ 2.4K) - HiPlot makes understanding high dimensional data easy. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/facebookresearch/hiplot) (👨‍💻 8 · 🔀 120 · 📦 5 · 📋 82 - 14% open · ⏱️ 27.10.2022):

	```
	git clone https://github.com/facebookresearch/hiplot
	```
- [PyPi](https://pypi.org/project/hiplot) (📥 42K / month · 📦 12 · ⏱️ 05.07.2022):
	```
	pip install hiplot
	```
- [Conda](https://anaconda.org/conda-forge/hiplot) (📥 110K · ⏱️ 31.05.2022):
	```
	conda install -c conda-forge hiplot
	```
</details>
<details><summary><b><a href="https://github.com/fbdesignpro/sweetviz">Sweetviz</a></b> (🥉23 ·  ⭐ 2.2K) - Visualize and compare datasets, target values and associations, with one.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/fbdesignpro/sweetviz) (👨‍💻 6 · 🔀 220 · 📋 100 - 30% open · ⏱️ 08.06.2022):

	```
	git clone https://github.com/fbdesignpro/sweetviz
	```
- [PyPi](https://pypi.org/project/sweetviz) (📥 68K / month · 📦 8 · ⏱️ 14.06.2022):
	```
	pip install sweetviz
	```
- [Conda](https://anaconda.org/conda-forge/sweetviz) (📥 16K · ⏱️ 15.06.2022):
	```
	conda install -c conda-forge sweetviz
	```
</details>
<details><summary><b><a href="https://github.com/marcharper/python-ternary">python-ternary</a></b> (🥉23 ·  ⭐ 600) - Ternary plotting library for python with matplotlib. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/marcharper/python-ternary) (👨‍💻 27 · 🔀 140 · 📥 18 · 📦 110 · 📋 140 - 28% open · ⏱️ 06.11.2022):

	```
	git clone https://github.com/marcharper/python-ternary
	```
- [PyPi](https://pypi.org/project/python-ternary) (📥 62K / month · 📦 21 · ⏱️ 17.02.2021):
	```
	pip install python-ternary
	```
- [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 68K · ⏱️ 17.02.2021):
	```
	conda install -c conda-forge python-ternary
	```
</details>
<details><summary><b><a href="https://github.com/vega/ipyvega">vega</a></b> (🥉23 ·  ⭐ 330) - IPython/Jupyter notebook module for Vega and Vega-Lite. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/vega/ipyvega) (👨‍💻 11 · 🔀 59 · 📋 95 - 13% open · ⏱️ 01.10.2022):

	```
	git clone https://github.com/vega/ipyvega
	```
- [PyPi](https://pypi.org/project/vega) (📥 10K / month · 📦 84 · ⏱️ 10.02.2022):
	```
	pip install vega
	```
- [Conda](https://anaconda.org/conda-forge/vega) (📥 520K · ⏱️ 10.02.2022):
	```
	conda install -c conda-forge vega
	```
</details>
<details><summary><b><a href="https://github.com/PatrikHlobil/Pandas-Bokeh">Pandas-Bokeh</a></b> (🥉21 ·  ⭐ 810 · 💤) - Bokeh Plotting Backend for Pandas and GeoPandas. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (👨‍💻 14 · 🔀 100 · 📋 100 - 33% open · ⏱️ 25.03.2022):

	```
	git clone https://github.com/PatrikHlobil/Pandas-Bokeh
	```
- [PyPi](https://pypi.org/project/pandas-bokeh) (📥 20K / month · 📦 11 · ⏱️ 11.04.2021):
	```
	pip install pandas-bokeh
	```
</details>
<details><summary><b><a href="https://github.com/predict-idlab/plotly-resampler">Plotly-Resampler</a></b> (🥉21 ·  ⭐ 570) - Visualize large time series data with plotly.py. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨‍💻 8 · 🔀 34 · 📋 69 - 30% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/predict-idlab/plotly-resampler
	```
- [PyPi](https://pypi.org/project/plotly-resampler) (📥 24K / month · ⏱️ 29.06.2022):
	```
	pip install plotly-resampler
	```
- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 9.3K · ⏱️ 25.08.2022):
	```
	conda install -c conda-forge plotly-resampler
	```
</details>
<details><summary><b><a href="https://github.com/gyli/PyWaffle">PyWaffle</a></b> (🥉21 ·  ⭐ 520) - Make Waffle Charts in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/gyli/PyWaffle) (👨‍💻 6 · 🔀 97 · 📦 170 · 📋 18 - 22% open · ⏱️ 08.06.2022):

	```
	git clone https://github.com/gyli/PyWaffle
	```
- [PyPi](https://pypi.org/project/pywaffle) (📥 14K / month · 📦 2 · ⏱️ 08.06.2022):
	```
	pip install pywaffle
	```
- [Conda](https://anaconda.org/conda-forge/pywaffle) (📥 7.5K · ⏱️ 05.06.2022):
	```
	conda install -c conda-forge pywaffle
	```
</details>
<details><summary><b><a href="https://github.com/leotac/joypy">joypy</a></b> (🥉21 ·  ⭐ 450 · 💤) - Joyplots in Python with matplotlib & pandas. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/leotac/joypy) (👨‍💻 6 · 🔀 47 · 📦 210 · 📋 48 - 22% open · ⏱️ 19.12.2021):

	```
	git clone https://github.com/leotac/joypy
	```
- [PyPi](https://pypi.org/project/joypy) (📥 14K / month · 📦 5 · ⏱️ 19.12.2021):
	```
	pip install joypy
	```
- [Conda](https://anaconda.org/conda-forge/joypy) (📥 17K · ⏱️ 28.12.2020):
	```
	conda install -c conda-forge joypy
	```
</details>
<details><summary>Show 14 hidden projects...</summary>

- <b><a href="https://github.com/SciTools/cartopy">cartopy</a></b> (🥈33 ·  ⭐ 1.1K) - Cartopy - a cartographic python library with matplotlib support. <code><a href="http://bit.ly/37RvQcA">❗️LGPL-3.0</a></code>
- <b><a href="https://github.com/santosjorge/cufflinks">Cufflinks</a></b> (🥉29 ·  ⭐ 2.7K · 💀) - Productivity Tools for Plotly + Pandas. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/PAIR-code/facets">Facets Overview</a></b> (🥉28 ·  ⭐ 7K · 💀) - Visualizations for machine learning datasets. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/DmitryUlyanov/Multicore-TSNE">Multicore-TSNE</a></b> (🥉24 ·  ⭐ 1.8K · 💀) - Parallel t-SNE implementation with Python and Torch.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/adamerose/PandasGUI">PandasGUI</a></b> (🥉23 ·  ⭐ 2.8K · 💤) - A GUI for Pandas DataFrames. <code><a href="https://tldrlegal.com/search?q=MIT-0">❗️MIT-0</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/SauceCat/PDPbox">PDPbox</a></b> (🥉22 ·  ⭐ 710 · 💀) - python partial dependence plot toolbox. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/nicolaskruchten/jupyter_pivottablejs">pivottablejs</a></b> (🥉22 ·  ⭐ 470 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/beringresearch/ivis">ivis</a></b> (🥉19 ·  ⭐ 280 · 📈) - Dimensionality reduction in very large datasets using Siamese.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/t-makaro/animatplot">animatplot</a></b> (🥉17 ·  ⭐ 400 · 💀) - A python package for animating plots build on matplotlib. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/altair-viz/pdvega">pdvega</a></b> (🥉17 ·  ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/data-describe/data-describe">data-describe</a></b> (🥉17 ·  ⭐ 290 · 💤) - datadescribe: Pythonic EDA Accelerator for Data Science. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/vegafusion/vegafusion">vegafusion</a></b> (🥉17 ·  ⭐ 120) - Serverside acceleration for the Vega visualization grammar. <code><a href="http://bit.ly/3pwmjO5">❗️AGPL-3.0</a></code>
- <b><a href="https://github.com/Zsailer/nx_altair">nx-altair</a></b> (🥉15 ·  ⭐ 200 · 💀) - Draw interactive NetworkX graphs with Altair. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/biovault/nptsne">nptsne</a></b> (🥉12 ·  ⭐ 29 · 💀) - nptsne is a numpy compatible python binary package that offers a.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
</details>
<br>

## Text Data & NLP

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._

<details><summary><b><a href="https://github.com/huggingface/transformers">transformers</a></b> (🥇49 ·  ⭐ 74K) - Transformers: State-of-the-art Machine Learning for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/huggingface/transformers) (👨‍💻 1.6K · 🔀 17K · 📥 620 · 📦 39K · 📋 10K - 5% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/huggingface/transformers
	```
- [PyPi](https://pypi.org/project/transformers) (📥 8.5M / month · 📦 980 · ⏱️ 21.06.2022):
	```
	pip install transformers
	```
- [Conda](https://anaconda.org/conda-forge/transformers) (📥 580K · ⏱️ 03.11.2022):
	```
	conda install -c conda-forge transformers
	```
</details>
<details><summary><b><a href="https://github.com/explosion/spaCy">spaCy</a></b> (🥇44 ·  ⭐ 25K) - Industrial-strength Natural Language Processing (NLP) in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/explosion/spaCy) (👨‍💻 700 · 🔀 4K · 📥 3.1K · 📦 45K · 📋 5.3K - 2% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/explosion/spaCy
	```
- [PyPi](https://pypi.org/project/spacy) (📥 4.2M / month · 📦 2.4K · ⏱️ 05.04.2022):
	```
	pip install spacy
	```
- [Conda](https://anaconda.org/conda-forge/spacy) (📥 2.8M · ⏱️ 21.10.2022):
	```
	conda install -c conda-forge spacy
	```
</details>
<details><summary><b><a href="https://github.com/nltk/nltk">nltk</a></b> (🥇44 ·  ⭐ 11K) - Suite of libraries and programs for symbolic and statistical natural.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/nltk/nltk) (👨‍💻 430 · 🔀 2.6K · 📦 160K · 📋 1.7K - 13% open · ⏱️ 05.11.2022):

	```
	git clone https://github.com/nltk/nltk
	```
- [PyPi](https://pypi.org/project/nltk) (📥 12M / month · 📦 12K · ⏱️ 09.02.2022):
	```
	pip install nltk
	```
- [Conda](https://anaconda.org/conda-forge/nltk) (📥 1.6M · ⏱️ 29.12.2021):
	```
	conda install -c conda-forge nltk
	```
</details>
<details><summary><b><a href="https://github.com/RaRe-Technologies/gensim">gensim</a></b> (🥇40 ·  ⭐ 14K) - Topic Modelling for Humans. <code><a href="https://tldrlegal.com/search?q=LGPL-2.1">❗️LGPL-2.1</a></code></summary>

- [GitHub](https://github.com/RaRe-Technologies/gensim) (👨‍💻 430 · 🔀 4.3K · 📥 4K · 📦 38K · 📋 1.8K - 21% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/RaRe-Technologies/gensim
	```
- [PyPi](https://pypi.org/project/gensim) (📥 4.8M / month · 📦 2.9K · ⏱️ 01.05.2022):
	```
	pip install gensim
	```
- [Conda](https://anaconda.org/conda-forge/gensim) (📥 910K · ⏱️ 29.07.2022):
	```
	conda install -c conda-forge gensim
	```
</details>
<details><summary><b><a href="https://github.com/RasaHQ/rasa">Rasa</a></b> (🥇39 ·  ⭐ 15K) - Open source machine learning framework to automate text- and voice-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/RasaHQ/rasa) (👨‍💻 560 · 🔀 4.2K · 📋 6.7K - 10% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/RasaHQ/rasa
	```
- [PyPi](https://pypi.org/project/rasa) (📥 190K / month · 📦 60 · ⏱️ 06.07.2022):
	```
	pip install rasa
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/fairseq">fairseq</a></b> (🥇38 ·  ⭐ 20K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/fairseq) (👨‍💻 410 · 🔀 5K · 📥 280 · 📦 1K · 📋 3.7K - 21% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/facebookresearch/fairseq
	```
- [PyPi](https://pypi.org/project/fairseq) (📥 58K / month · 📦 39 · ⏱️ 27.06.2022):
	```
	pip install fairseq
	```
- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 21K · ⏱️ 13.07.2022):
	```
	conda install -c conda-forge fairseq
	```
</details>
<details><summary><b><a href="https://github.com/flairNLP/flair">flair</a></b> (🥇38 ·  ⭐ 12K) - A very simple framework for state-of-the-art Natural Language Processing.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/flairNLP/flair) (👨‍💻 230 · 🔀 2K · 📦 1.7K · 📋 2K - 4% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/flairNLP/flair
	```
- [PyPi](https://pypi.org/project/flair) (📥 200K / month · 📦 76 · ⏱️ 20.05.2022):
	```
	pip install flair
	```
- [Conda](https://anaconda.org/conda-forge/python-flair) (📥 14K · ⏱️ 21.05.2022):
	```
	conda install -c conda-forge python-flair
	```
</details>
<details><summary><b><a href="https://github.com/allenai/allennlp">AllenNLP</a></b> (🥇37 ·  ⭐ 11K) - An open-source NLP research library, built on PyTorch. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/allenai/allennlp) (👨‍💻 260 · 🔀 2.2K · 📥 47 · 📦 2.8K · 📋 2.6K - 3% open · ⏱️ 18.10.2022):

	```
	git clone https://github.com/allenai/allennlp
	```
- [PyPi](https://pypi.org/project/allennlp) (📥 98K / month · 📦 180 · ⏱️ 14.04.2022):
	```
	pip install allennlp
	```
- [Conda](https://anaconda.org/conda-forge/allennlp) (📥 89K · ⏱️ 15.07.2022):
	```
	conda install -c conda-forge allennlp
	```
</details>
<details><summary><b><a href="https://github.com/UKPLab/sentence-transformers">sentence-transformers</a></b> (🥇37 ·  ⭐ 8.8K) - Multilingual Sentence & Image Embeddings with BERT. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨‍💻 100 · 🔀 1.7K · 📦 4.6K · 📋 1.6K - 52% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/UKPLab/sentence-transformers
	```
- [PyPi](https://pypi.org/project/sentence-transformers) (📥 2M / month · 📦 130 · ⏱️ 26.06.2022):
	```
	pip install sentence-transformers
	```
- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 47K · ⏱️ 27.06.2022):
	```
	conda install -c conda-forge sentence-transformers
	```
</details>
<details><summary><b><a href="https://github.com/JohnSnowLabs/spark-nlp">spark-nlp</a></b> (🥇37 ·  ⭐ 3K) - State of the Art Natural Language Processing. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 130 · 🔀 610 · 📦 190 · 📋 740 - 5% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/JohnSnowLabs/spark-nlp
	```
- [PyPi](https://pypi.org/project/spark-nlp) (📥 2.9M / month · 📦 13 · ⏱️ 01.07.2022):
	```
	pip install spark-nlp
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/ParlAI">ParlAI</a></b> (🥈35 ·  ⭐ 9.5K) - A framework for training and evaluating AI models on a variety of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/ParlAI) (👨‍💻 200 · 🔀 1.9K · 📦 93 · 📋 1.5K - 6% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/facebookresearch/ParlAI
	```
- [PyPi](https://pypi.org/project/parlai) (📥 3.5K / month · 📦 3 · ⏱️ 30.03.2022):
	```
	pip install parlai
	```
</details>
<details><summary><b><a href="https://github.com/google/sentencepiece">sentencepiece</a></b> (🥈35 ·  ⭐ 6.3K · 📉) - Unsupervised text tokenizer for Neural Network-based.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/google/sentencepiece) (👨‍💻 69 · 🔀 840 · 📥 22K · 📦 19K · 📋 570 - 5% open · ⏱️ 09.09.2022):

	```
	git clone https://github.com/google/sentencepiece
	```
- [PyPi](https://pypi.org/project/sentencepiece) (📥 7.7M / month · 📦 410 · ⏱️ 18.06.2021):
	```
	pip install sentencepiece
	```
- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 260K · ⏱️ 08.04.2022):
	```
	conda install -c conda-forge sentencepiece
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/fastText">fastText</a></b> (🥈34 ·  ⭐ 24K · 💤) - Library for fast text representation and classification. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/facebookresearch/fastText) (👨‍💻 59 · 🔀 4.5K · 📦 3.5K · 📋 1.1K - 45% open · ⏱️ 04.03.2022):

	```
	git clone https://github.com/facebookresearch/fastText
	```
- [PyPi](https://pypi.org/project/fasttext) (📥 1M / month · 📦 190 · ⏱️ 28.04.2020):
	```
	pip install fasttext
	```
- [Conda](https://anaconda.org/conda-forge/fasttext) (📥 42K · ⏱️ 01.11.2022):
	```
	conda install -c conda-forge fasttext
	```
</details>
<details><summary><b><a href="https://github.com/stanfordnlp/stanza">stanza</a></b> (🥈34 ·  ⭐ 6.4K) - Official Stanford NLP Python Library for Many Human Languages. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 54 · 🔀 820 · 📦 1.3K · 📋 730 - 9% open · ⏱️ 15.09.2022):

	```
	git clone https://github.com/stanfordnlp/stanza
	```
- [PyPi](https://pypi.org/project/stanza) (📥 190K / month · 📦 70 · ⏱️ 23.04.2022):
	```
	pip install stanza
	```
- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 5.9K · ⏱️ 14.09.2022):
	```
	conda install -c stanfordnlp stanza
	```
</details>
<details><summary><b><a href="https://github.com/OpenNMT/OpenNMT-py">OpenNMT</a></b> (🥈34 ·  ⭐ 5.8K) - Open Source Neural Machine Translation in PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨‍💻 180 · 🔀 2.1K · 📦 150 · 📋 1.4K - 7% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/OpenNMT/OpenNMT-py
	```
- [PyPi](https://pypi.org/project/OpenNMT-py) (📥 3.9K / month · 📦 9 · ⏱️ 14.09.2021):
	```
	pip install OpenNMT-py
	```
</details>
<details><summary><b><a href="https://github.com/pytorch/text">torchtext</a></b> (🥈34 ·  ⭐ 3.1K) - Data loaders and abstractions for text and NLP. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pytorch/text) (👨‍💻 140 · 🔀 750 · 📋 760 - 38% open · ⏱️ 04.11.2022):

	```
	git clone https://github.com/pytorch/text
	```
- [PyPi](https://pypi.org/project/torchtext) (📥 430K / month · 📦 440 · ⏱️ 28.06.2022):
	```
	pip install torchtext
	```
</details>
<details><summary><b><a href="https://github.com/huggingface/tokenizers">Tokenizers</a></b> (🥈33 ·  ⭐ 6K) - Fast State-of-the-Art Tokenizers optimized for Research and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 61 · 🔀 510 · 📦 52 · 📋 700 - 32% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/huggingface/tokenizers
	```
- [PyPi](https://pypi.org/project/tokenizers) (📥 8.4M / month · 📦 130 · ⏱️ 13.04.2022):
	```
	pip install tokenizers
	```
- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 530K · ⏱️ 28.10.2022):
	```
	conda install -c conda-forge tokenizers
	```
</details>
<details><summary><b><a href="https://github.com/NVIDIA/NeMo">NeMo</a></b> (🥈33 ·  ⭐ 5K) - NeMo: a toolkit for conversational AI. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/NVIDIA/NeMo) (👨‍💻 190 · 🔀 1.2K · 📥 7.5K · 📋 1.4K - 5% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/NVIDIA/NeMo
	```
- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 17K / month · 📦 7 · ⏱️ 01.07.2022):
	```
	pip install nemo-toolkit
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/text">TensorFlow Text</a></b> (🥈33 ·  ⭐ 1K · 📈) - Making text a first-class citizen in TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/text) (👨‍💻 98 · 🔀 250 · 📦 2.4K · 📋 240 - 38% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/tensorflow/text
	```
- [PyPi](https://pypi.org/project/tensorflow-text) (📥 2.6M / month · 📦 83 · ⏱️ 18.05.2022):
	```
	pip install tensorflow-text
	```
</details>
<details><summary><b><a href="https://github.com/deeppavlov/DeepPavlov">DeepPavlov</a></b> (🥈32 ·  ⭐ 5.9K · 📈) - An open source library for deep learning end-to-end.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨‍💻 72 · 🔀 1.1K · 📦 300 · 📋 620 - 8% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/deepmipt/DeepPavlov
	```
- [PyPi](https://pypi.org/project/deeppavlov) (📥 8.8K / month · 📦 6 · ⏱️ 31.05.2022):
	```
	pip install deeppavlov
	```
</details>
<details><summary><b><a href="https://github.com/dedupeio/dedupe">Dedupe</a></b> (🥈32 ·  ⭐ 3.5K) - A python library for accurate and scalable fuzzy matching, record.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/dedupeio/dedupe) (👨‍💻 67 · 🔀 480 · 📋 780 - 8% open · ⏱️ 31.10.2022):

	```
	git clone https://github.com/dedupeio/dedupe
	```
- [PyPi](https://pypi.org/project/dedupe) (📥 300K / month · 📦 48 · ⏱️ 06.07.2022):
	```
	pip install dedupe
	```
- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 17K · ⏱️ 02.11.2022):
	```
	conda install -c conda-forge dedupe
	```
</details>
<details><summary><b><a href="https://github.com/jamesturk/jellyfish">jellyfish</a></b> (🥈32 ·  ⭐ 1.7K) - a python library for doing approximate and phonetic matching of.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>

- [GitHub](https://github.com/jamesturk/jellyfish) (👨‍💻 27 · 🔀 150 · 📦 4.5K · 📋 120 - 10% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/jamesturk/jellyfish
	```
- [PyPi](https://pypi.org/project/jellyfish) (📥 2.7M / month · 📦 410 · ⏱️ 07.01.2022):
	```
	pip install jellyfish
	```
- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 380K · ⏱️ 28.10.2022):
	```
	conda install -c conda-forge jellyfish
	```
</details>
<details><summary><b><a href="https://github.com/snowballstem/snowball">snowballstemmer</a></b> (🥈31 ·  ⭐ 600) - Snowball compiler and stemming algorithms. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/snowballstem/snowball) (👨‍💻 30 · 🔀 160 · 📦 4 · 📋 82 - 40% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/snowballstem/snowball
	```
- [PyPi](https://pypi.org/project/snowballstemmer) (📥 8.4M / month · 📦 6.7K · ⏱️ 16.11.2021):
	```
	pip install snowballstemmer
	```
- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 5.4M · ⏱️ 17.11.2021):
	```
	conda install -c conda-forge snowballstemmer
	```
</details>
<details><summary><b><a href="https://github.com/deepset-ai/haystack">haystack</a></b> (🥈30 ·  ⭐ 6K) - Haystack is an open source NLP framework that leverages pre-trained.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/deepset-ai/haystack) (👨‍💻 150 · 🔀 920 · 📥 15 · 📋 1.7K - 17% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/deepset-ai/haystack
	```
- [PyPi](https://pypi.org/project/haystack) (📥 1K / month · 📦 85 · ⏱️ 15.12.2021):
	```
	pip install haystack
	```
</details>
<details><summary><b><a href="https://github.com/makcedward/nlpaug">nlpaug</a></b> (🥈30 ·  ⭐ 3.6K) - Data augmentation for NLP. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/makcedward/nlpaug) (👨‍💻 33 · 🔀 410 · 📦 450 · 📋 200 - 22% open · ⏱️ 07.07.2022):

	```
	git clone https://github.com/makcedward/nlpaug
	```
- [PyPi](https://pypi.org/project/nlpaug) (📥 170K / month · 📦 19 · ⏱️ 07.07.2022):
	```
	pip install nlpaug
	```
- [Conda](https://anaconda.org/conda-forge/nlpaug) (📥 5.6K · ⏱️ 07.07.2022):
	```
	conda install -c conda-forge nlpaug
	```
</details>
<details><summary><b><a href="https://github.com/life4/textdistance">TextDistance</a></b> (🥈30 ·  ⭐ 3K) - Compute distance between sequences. 30+ algorithms, pure python.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/life4/textdistance) (👨‍💻 13 · 🔀 240 · 📥 870 · 📦 3K · ⏱️ 18.09.2022):

	```
	git clone https://github.com/life4/textdistance
	```
- [PyPi](https://pypi.org/project/textdistance) (📥 650K / month · 📦 43 · ⏱️ 29.06.2022):
	```
	pip install textdistance
	```
- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 250K · ⏱️ 18.09.2022):
	```
	conda install -c conda-forge textdistance
	```
</details>
<details><summary><b><a href="https://github.com/allenai/scispacy">SciSpacy</a></b> (🥈30 ·  ⭐ 1.3K) - A full spaCy pipeline and models for scientific/biomedical documents. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/allenai/scispacy) (👨‍💻 27 · 🔀 170 · 📦 530 · 📋 270 - 10% open · ⏱️ 06.11.2022):

	```
	git clone https://github.com/allenai/scispacy
	```
- [PyPi](https://pypi.org/project/scispacy) (📥 31K / month · 📦 19 · ⏱️ 10.03.2022):
	```
	pip install scispacy
	```
</details>
<details><summary><b><a href="https://github.com/miso-belica/sumy">Sumy</a></b> (🥈29 ·  ⭐ 3K) - Module for automatic summarization of text documents and HTML pages. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/miso-belica/sumy) (👨‍💻 24 · 🔀 480 · 📦 1.5K · 📋 110 - 13% open · ⏱️ 23.10.2022):

	```
	git clone https://github.com/miso-belica/sumy
	```
- [PyPi](https://pypi.org/project/sumy) (📥 19K / month · 📦 100 · ⏱️ 21.04.2022):
	```
	pip install sumy
	```
- [Conda](https://anaconda.org/conda-forge/sumy) (📥 3K · ⏱️ 25.10.2022):
	```
	conda install -c conda-forge sumy
	```
</details>
<details><summary><b><a href="https://github.com/fastnlp/fastNLP">fastNLP</a></b> (🥈29 ·  ⭐ 2.7K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/fastnlp/fastNLP) (👨‍💻 61 · 🔀 440 · 📥 66 · 📦 99 · 📋 200 - 25% open · ⏱️ 31.10.2022):

	```
	git clone https://github.com/fastnlp/fastNLP
	```
- [PyPi](https://pypi.org/project/fastnlp) (📥 4.1K / month · 📦 3 · ⏱️ 04.02.2019):
	```
	pip install fastnlp
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/pytext">PyText</a></b> (🥈28 ·  ⭐ 6.4K) - A natural language modeling framework based on PyTorch. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/pytext) (👨‍💻 230 · 🔀 800 · 📥 310 · 📦 110 · 📋 220 - 66% open · ⏱️ 17.10.2022):

	```
	git clone https://github.com/facebookresearch/pytext
	```
- [PyPi](https://pypi.org/project/pytext-nlp) (📥 190 / month · 📦 1 · ⏱️ 08.06.2020):
	```
	pip install pytext-nlp
	```
</details>
<details><summary><b><a href="https://github.com/rspeer/python-ftfy">ftfy</a></b> (🥈28 ·  ⭐ 3.3K) - Fixes mojibake and other glitches in Unicode text, after the fact. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/rspeer/python-ftfy) (👨‍💻 18 · 🔀 110 · 📦 7.4K · 📋 130 - 9% open · ⏱️ 25.10.2022):

	```
	git clone https://github.com/rspeer/python-ftfy
	```
- [PyPi](https://pypi.org/project/ftfy) (📥 2.9M / month · 📦 490 · ⏱️ 09.02.2022):
	```
	pip install ftfy
	```
- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 200K · ⏱️ 13.03.2022):
	```
	conda install -c conda-forge ftfy
	```
</details>
<details><summary><b><a href="https://github.com/chartbeat-labs/textacy">textacy</a></b> (🥈28 ·  ⭐ 2K · 💤) - NLP, before and after spaCy. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/chartbeat-labs/textacy) (👨‍💻 32 · 🔀 240 · 📋 250 - 11% open · ⏱️ 06.03.2022):

	```
	git clone https://github.com/chartbeat-labs/textacy
	```
- [PyPi](https://pypi.org/project/textacy) (📥 34K / month · 📦 100 · ⏱️ 06.12.2021):
	```
	pip install textacy
	```
- [Conda](https://anaconda.org/conda-forge/textacy) (📥 120K · ⏱️ 06.02.2022):
	```
	conda install -c conda-forge textacy
	```
</details>
<details><summary><b><a href="https://github.com/cltk/cltk">CLTK</a></b> (🥈28 ·  ⭐ 750) - The Classical Language Toolkit. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/cltk/cltk) (👨‍💻 120 · 🔀 310 · 📥 25 · 📦 210 · 📋 530 - 5% open · ⏱️ 16.10.2022):

	```
	git clone https://github.com/cltk/cltk
	```
- [PyPi](https://pypi.org/project/cltk) (📥 1.1K / month · 📦 42 · ⏱️ 09.06.2022):
	```
	pip install cltk
	```
</details>
<details><summary><b><a href="https://github.com/Ciphey/Ciphey">Ciphey</a></b> (🥈27 ·  ⭐ 11K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/Ciphey/Ciphey) (👨‍💻 46 · 🔀 670 · 📋 290 - 16% open · ⏱️ 28.06.2022):

	```
	git clone https://github.com/Ciphey/Ciphey
	```
- [PyPi](https://pypi.org/project/ciphey) (📥 33K / month · ⏱️ 06.06.2021):
	```
	pip install ciphey
	```
- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (📥 17K · ⭐ 8 · ⏱️ 27.05.2022):
	```
	docker pull remnux/ciphey
	```
</details>
<details><summary><b><a href="https://github.com/dwyl/english-words">english-words</a></b> (🥈27 ·  ⭐ 8.4K) - A text file containing 479k English words for all your.. <code><a href="http://bit.ly/3rvuUlR">Unlicense</a></code></summary>

- [GitHub](https://github.com/dwyl/english-words) (👨‍💻 30 · 🔀 1.5K · 📋 100 - 68% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/dwyl/english-words
	```
- [PyPi](https://pypi.org/project/english-words) (📥 130K / month · 📦 6 · ⏱️ 29.01.2022):
	```
	pip install english-words
	```
</details>
<details><summary><b><a href="https://github.com/google-research/text-to-text-transfer-transformer">T5</a></b> (🥈27 ·  ⭐ 4.5K) - Code for the paper Exploring the Limits of Transfer Learning with a.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨‍💻 53 · 🔀 610 · 📦 120 · 📋 400 - 15% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/google-research/text-to-text-transfer-transformer
	```
- [PyPi](https://pypi.org/project/t5) (📥 8.2K / month · 📦 2 · ⏱️ 18.10.2021):
	```
	pip install t5
	```
</details>
<details><summary><b><a href="https://github.com/cjhutto/vaderSentiment">vaderSentiment</a></b> (🥈27 ·  ⭐ 3.8K · 💤) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/cjhutto/vaderSentiment) (👨‍💻 11 · 🔀 890 · 📦 4.4K · 📋 110 - 32% open · ⏱️ 01.04.2022):

	```
	git clone https://github.com/cjhutto/vaderSentiment
	```
- [PyPi](https://pypi.org/project/vadersentiment) (📥 160K / month · 📦 170 · ⏱️ 22.05.2020):
	```
	pip install vadersentiment
	```
- [Conda](https://anaconda.org/conda-forge/vadersentiment) (📥 10K · ⏱️ 22.03.2021):
	```
	conda install -c conda-forge vadersentiment
	```
</details>
<details><summary><b><a href="https://github.com/DerwenAI/pytextrank">PyTextRank</a></b> (🥈27 ·  ⭐ 1.9K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/DerwenAI/pytextrank) (👨‍💻 18 · 🔀 330 · 📦 300 · 📋 90 - 20% open · ⏱️ 27.07.2022):

	```
	git clone https://github.com/DerwenAI/pytextrank
	```
- [PyPi](https://pypi.org/project/pytextrank) (📥 77K / month · 📦 13 · ⏱️ 06.03.2022):
	```
	pip install pytextrank
	```
</details>
<details><summary><b><a href="https://github.com/explosion/spacy-transformers">spacy-transformers</a></b> (🥈27 ·  ⭐ 1.2K) - Use pretrained transformers like BERT, XLNet and GPT-2.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>spacy</code></summary>

- [GitHub](https://github.com/explosion/spacy-transformers) (👨‍💻 19 · 🔀 150 · 📦 700 · ⏱️ 31.10.2022):

	```
	git clone https://github.com/explosion/spacy-transformers
	```
- [PyPi](https://pypi.org/project/spacy-transformers) (📥 140K / month · 📦 22 · ⏱️ 05.07.2022):
	```
	pip install spacy-transformers
	```
- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 6.2K · ⏱️ 13.08.2022):
	```
	conda install -c conda-forge spacy-transformers
	```
</details>
<details><summary><b><a href="https://github.com/JasonKessler/scattertext">scattertext</a></b> (🥉26 ·  ⭐ 2K) - Beautiful visualizations of how language differs among document.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/JasonKessler/scattertext) (👨‍💻 13 · 🔀 260 · 📦 310 · 📋 91 - 19% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/JasonKessler/scattertext
	```
- [PyPi](https://pypi.org/project/scattertext) (📥 5.1K / month · 📦 10 · ⏱️ 26.03.2022):
	```
	pip install scattertext
	```
- [Conda](https://anaconda.org/conda-forge/scattertext) (📥 70K · ⏱️ 04.11.2022):
	```
	conda install -c conda-forge scattertext
	```
</details>
<details><summary><b><a href="https://github.com/zjunlp/DeepKE">DeepKE</a></b> (🥉26 ·  ⭐ 1.4K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/zjunlp/DeepKE) (👨‍💻 14 · 🔀 380 · 📦 9 · ⏱️ 10.11.2022):

	```
	git clone https://github.com/zjunlp/deepke
	```
- [PyPi](https://pypi.org/project/deepke) (📥 1.4K / month · ⏱️ 05.07.2022):
	```
	pip install deepke
	```
</details>
<details><summary><b><a href="https://github.com/argilla-io/argilla">rubrix</a></b> (🥉25 ·  ⭐ 1.4K) - Open-source tool for data-centric NLP. Argilla helps domain experts.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/argilla-io/argilla) (👨‍💻 27 · 🔀 120 · 📋 680 - 11% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/recognai/rubrix
	```
- [PyPi](https://pypi.org/project/rubrix) (📥 1K / month · ⏱️ 08.06.2022):
	```
	pip install rubrix
	```
- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 14K · ⏱️ 06.10.2022):
	```
	conda install -c conda-forge rubrix
	```
</details>
<details><summary><b><a href="https://github.com/bigscience-workshop/promptsource">promptsource</a></b> (🥉24 ·  ⭐ 860) - Toolkit for creating, sharing and using natural language.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/bigscience-workshop/promptsource) (👨‍💻 58 · 🔀 170 · 📦 13 · 📋 160 - 14% open · ⏱️ 28.10.2022):

	```
	git clone https://github.com/bigscience-workshop/promptsource
	```
- [PyPi](https://pypi.org/project/promptsource) (📥 2.5K / month · ⏱️ 18.04.2022):
	```
	pip install promptsource
	```
</details>
<details><summary><b><a href="https://github.com/bytedance/lightseq">lightseq</a></b> (🥉23 ·  ⭐ 2.4K) - LightSeq: A High Performance Library for Sequence Processing and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/bytedance/lightseq) (👨‍💻 13 · 🔀 260 · 📥 650 · 📋 230 - 57% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/bytedance/lightseq
	```
- [PyPi](https://pypi.org/project/lightseq) (📥 4K / month · 📦 1 · ⏱️ 26.01.2022):
	```
	pip install lightseq
	```
</details>
<details><summary><b><a href="https://github.com/thunlp/OpenPrompt">OpenPrompt</a></b> (🥉23 ·  ⭐ 2.1K) - An Open-Source Framework for Prompt-Learning. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/thunlp/OpenPrompt) (👨‍💻 18 · 🔀 230 · 📦 23 · 📋 180 - 18% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/thunlp/OpenPrompt
	```
- [PyPi](https://pypi.org/project/openprompt) (📥 1.6K / month · ⏱️ 06.07.2022):
	```
	pip install openprompt
	```
</details>
<details><summary><b><a href="https://github.com/utterworks/fast-bert">fast-bert</a></b> (🥉23 ·  ⭐ 1.8K) - Super easy library for BERT based NLP models. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/utterworks/fast-bert) (👨‍💻 36 · 🔀 340 · 📋 250 - 62% open · ⏱️ 27.09.2022):

	```
	git clone https://github.com/utterworks/fast-bert
	```
- [PyPi](https://pypi.org/project/fast-bert) (📥 1.2K / month · 📦 2 · ⏱️ 03.06.2022):
	```
	pip install fast-bert
	```
</details>
<details><summary><b><a href="https://github.com/awslabs/sockeye">Sockeye</a></b> (🥉23 ·  ⭐ 1.1K) - Sequence-to-sequence framework with a focus on Neural Machine.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/awslabs/sockeye) (👨‍💻 58 · 🔀 320 · 📥 15 · 📋 290 - 3% open · ⏱️ 06.11.2022):

	```
	git clone https://github.com/awslabs/sockeye
	```
- [PyPi](https://pypi.org/project/sockeye) (📥 370 / month · 📦 2 · ⏱️ 05.05.2022):
	```
	pip install sockeye
	```
</details>
<details><summary><b><a href="https://github.com/minimaxir/gpt-2-simple">gpt-2-simple</a></b> (🥉22 ·  ⭐ 3.1K) - Python package to easily retrain OpenAIs GPT-2 text-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/minimaxir/gpt-2-simple) (👨‍💻 21 · 🔀 600 · 📥 360 · 📋 250 - 60% open · ⏱️ 22.05.2022):

	```
	git clone https://github.com/minimaxir/gpt-2-simple
	```
- [PyPi](https://pypi.org/project/gpt-2-simple) (📥 6.7K / month · 📦 5 · ⏱️ 18.10.2021):
	```
	pip install gpt-2-simple
	```
</details>
<details><summary><b><a href="https://github.com/qdrant/qdrant">qdrant</a></b> (🥉22 ·  ⭐ 3K) - Qdrant - Vector Search Engine for the next generation of AI applications. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/qdrant/qdrant) (👨‍💻 28 · 🔀 130 · 📋 330 - 7% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/qdrant/qdrant
	```
</details>
<details><summary><b><a href="https://github.com/jbesomi/texthero">Texthero</a></b> (🥉22 ·  ⭐ 2.6K) - Text preprocessing, representation and visualization from zero to hero. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/jbesomi/texthero) (👨‍💻 20 · 🔀 220 · 📥 94 · 📋 140 - 56% open · ⏱️ 28.10.2022):

	```
	git clone https://github.com/jbesomi/texthero
	```
- [PyPi](https://pypi.org/project/texthero) (📥 24K / month · 📦 6 · ⏱️ 01.07.2021):
	```
	pip install texthero
	```
</details>
<details><summary><b><a href="https://github.com/nyu-mll/jiant">jiant</a></b> (🥉22 ·  ⭐ 1.4K) - jiant is an nlp toolkit. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/nyu-mll/jiant) (👨‍💻 59 · 🔀 270 · 📦 2 · 📋 550 - 11% open · ⏱️ 17.10.2022):

	```
	git clone https://github.com/nyu-mll/jiant
	```
- [PyPi](https://pypi.org/project/jiant) (📥 92 / month · ⏱️ 10.05.2021):
	```
	pip install jiant
	```
</details>
<details><summary><b><a href="https://github.com/deepset-ai/FARM">FARM</a></b> (🥉21 ·  ⭐ 1.6K) - Fast & easy transfer learning for NLP. Harvesting language models.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/deepset-ai/FARM) (👨‍💻 37 · 🔀 220 · 📋 440 - 8% open · ⏱️ 31.08.2022):

	```
	git clone https://github.com/deepset-ai/FARM
	```
- [PyPi](https://pypi.org/project/farm) (📥 3K / month · 📦 2 · ⏱️ 10.06.2021):
	```
	pip install farm
	```
- [Conda](https://anaconda.org/conda-forge/farm) (📥 1.8K · ⏱️ 14.06.2021):
	```
	conda install -c conda-forge farm
	```
</details>
<details><summary><b><a href="https://github.com/unitaryai/detoxify">detoxify</a></b> (🥉21 ·  ⭐ 500) - Trained models & code to predict toxic comments on all 3 Jigsaw.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/unitaryai/detoxify) (👨‍💻 9 · 🔀 70 · 📥 100K · 📦 150 · 📋 41 - 53% open · ⏱️ 19.10.2022):

	```
	git clone https://github.com/unitaryai/detoxify
	```
- [PyPi](https://pypi.org/project/detoxify) (📥 42K / month · 📦 2 · ⏱️ 12.04.2022):
	```
	pip install detoxify
	```
</details>
<details><summary><b><a href="https://github.com/webis-de/small-text">small-text</a></b> (🥉21 ·  ⭐ 360) - Active Learning for Text Classification in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/webis-de/small-text) (👨‍💻 2 · 🔀 38 · 📦 14 · 📋 21 - 19% open · ⏱️ 14.10.2022):

	```
	git clone https://github.com/webis-de/small-text
	```
- [PyPi](https://pypi.org/project/small-text) (📥 410 / month · ⏱️ 14.06.2022):
	```
	pip install small-text
	```
- [Conda](https://anaconda.org/conda-forge/small-text) (📥 990 · ⏱️ 14.10.2022):
	```
	conda install -c conda-forge small-text
	```
</details>
<details><summary><b><a href="https://github.com/EricFillion/happy-transformer">happy-transformer</a></b> (🥉21 ·  ⭐ 350) - A package built on top of Hugging Faces transformers.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code>huggingface</code></summary>

- [GitHub](https://github.com/EricFillion/happy-transformer) (👨‍💻 14 · 🔀 43 · 📦 95 · 📋 100 - 11% open · ⏱️ 31.10.2022):

	```
	git clone https://github.com/EricFillion/happy-transformer
	```
- [PyPi](https://pypi.org/project/happytransformer) (📥 3.9K / month · 📦 1 · ⏱️ 06.02.2022):
	```
	pip install happytransformer
	```
</details>
<details><summary><b><a href="https://github.com/IntelLabs/nlp-architect">NLP Architect</a></b> (🥉20 ·  ⭐ 2.9K) - A model library for exploring state-of-the-art deep learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/IntelLabs/nlp-architect) (👨‍💻 38 · 🔀 450 · 📦 8 · 📋 130 - 16% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/IntelLabs/nlp-architect
	```
- [PyPi](https://pypi.org/project/nlp-architect) (📥 87 / month · ⏱️ 12.04.2020):
	```
	pip install nlp-architect
	```
</details>
<details><summary><b><a href="https://github.com/IndicoDataSolutions/finetune">finetune</a></b> (🥉20 ·  ⭐ 660) - Scikit-learn style model finetuning for NLP. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨‍💻 19 · 🔀 71 · 📦 9 · 📋 140 - 15% open · ⏱️ 16.06.2022):

	```
	git clone https://github.com/IndicoDataSolutions/finetune
	```
- [PyPi](https://pypi.org/project/finetune) (📥 33 / month · 📦 2 · ⏱️ 20.12.2021):
	```
	pip install finetune
	```
</details>
<details><summary><b><a href="https://github.com/RUCAIBox/TextBox">TextBox</a></b> (🥉20 ·  ⭐ 420) - TextBox 2.0 is a text generation library with pre-trained language models. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/RUCAIBox/TextBox) (👨‍💻 17 · 🔀 72 · 📦 5 · 📋 23 - 13% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/RUCAIBox/TextBox
	```
- [PyPi](https://pypi.org/project/textbox) (📥 37 / month · ⏱️ 15.04.2021):
	```
	pip install textbox
	```
</details>
<details><summary><b><a href="https://github.com/Ki6an/fastT5">fastT5</a></b> (🥉17 ·  ⭐ 380 · 💤) - boost inference speed of T5 models by 5x & reduce the model size.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/Ki6an/fastT5) (👨‍💻 5 · 🔀 45 · 📦 24 · 📋 52 - 23% open · ⏱️ 05.04.2022):

	```
	git clone https://github.com/Ki6an/fastT5
	```
- [PyPi](https://pypi.org/project/fastt5) (📥 1K / month · ⏱️ 05.04.2022):
	```
	pip install fastt5
	```
</details>
<details><summary><b><a href="https://github.com/thunlp/OpenNRE">OpenNRE</a></b> (🥉16 ·  ⭐ 3.8K) - An Open-Source Package for Neural Relation Extraction (NRE). <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/thunlp/OpenNRE) (👨‍💻 11 · 🔀 1K · 📋 350 - 3% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/thunlp/OpenNRE
	```
</details>
<details><summary><b><a href="https://github.com/pytorch/translate">Translate</a></b> (🥉15 ·  ⭐ 760) - Translate - a PyTorch Language Library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pytorch/translate) (👨‍💻 87 · 🔀 200 · 📋 55 - 50% open · ⏱️ 10.06.2022):

	```
	git clone https://github.com/pytorch/translate
	```
- [PyPi](https://pypi.org/project/pytorch-translate) (📥 4 / month · ⏱️ 01.05.2018):
	```
	pip install pytorch-translate
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/vizseq">VizSeq</a></b> (🥉14 ·  ⭐ 410) - An Analysis Toolkit for Natural Language Generation (Translation,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/facebookresearch/vizseq) (👨‍💻 3 · 🔀 51 · 📦 6 · 📋 16 - 43% open · ⏱️ 20.07.2022):

	```
	git clone https://github.com/facebookresearch/vizseq
	```
- [PyPi](https://pypi.org/project/vizseq) (📥 76 / month · ⏱️ 07.08.2020):
	```
	pip install vizseq
	```
</details>
<details><summary>Show 38 hidden projects...</summary>

- <b><a href="https://github.com/gunthercox/ChatterBot">ChatterBot</a></b> (🥈36 ·  ⭐ 13K · 💀) - ChatterBot is a machine learning, conversational dialog engine.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/sloria/TextBlob">TextBlob</a></b> (🥈34 ·  ⭐ 8.3K · 💀) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/seatgeek/fuzzywuzzy">fuzzywuzzy</a></b> (🥈32 ·  ⭐ 8.8K · 💀) - Fuzzy String Matching in Python. <code><a href="http://bit.ly/2KucAZR">❗️GPL-2.0</a></code>
- <b><a href="https://github.com/dmlc/gluon-nlp">GluonNLP</a></b> (🥈30 ·  ⭐ 2.5K · 💀) - Toolkit that enables easy text preprocessing, datasets.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/huggingface/neuralcoref">neuralcoref</a></b> (🥈28 ·  ⭐ 2.6K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/aboSamoor/polyglot">polyglot</a></b> (🥈27 ·  ⭐ 2.1K · 💀) - Multilingual text (NLP) processing toolkit. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/saffsd/langid.py">langid</a></b> (🥈27 ·  ⭐ 2K · 💀) - Stand-alone language identification system. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/vi3k6i5/flashtext">flashtext</a></b> (🥉26 ·  ⭐ 5.3K · 💀) - Extract Keywords from sentence or Replace keywords in sentences. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/undertheseanlp/underthesea">underthesea</a></b> (🥉26 ·  ⭐ 1K) - Underthesea - Vietnamese NLP Toolkit. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/snipsco/snips-nlu">Snips NLU</a></b> (🥉25 ·  ⭐ 3.7K · 💀) - Snips Python library to extract meaning from text. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/explosion/sense2vec">sense2vec</a></b> (🥉25 ·  ⭐ 1.4K · 💀) - Contextually-keyed word vectors. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/minimaxir/textgenrnn">textgenrnn</a></b> (🥉24 ·  ⭐ 4.8K · 💀) - Easily train your own text-generating neural network of any.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/NTMC-Community/MatchZoo">MatchZoo</a></b> (🥉24 ·  ⭐ 3.7K · 💀) - Facilitating the design, comparison and sharing of deep.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/PetrochukM/PyTorch-NLP">pytorch-nlp</a></b> (🥉24 ·  ⭐ 2.1K · 💀) - Basic Utilities for PyTorch Natural Language Processing.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/mchaput/whoosh">whoosh</a></b> (🥉24 ·  ⭐ 320 · 💤) - Pure-Python full-text search library. <code><a href="https://tldrlegal.com/search?q=BSD-1-Clause">❗️BSD-1-Clause</a></code>
- <b><a href="https://github.com/BrikerMan/Kashgari">Kashgari</a></b> (🥉23 ·  ⭐ 2.3K · 💀) - Kashgari is a production-level NLP Transfer learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/VKCOM/YouTokenToMe">YouTokenToMe</a></b> (🥉23 ·  ⭐ 830 · 💀) - Unsupervised text tokenizer focused on computational efficiency. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/anhaidgroup/deepmatcher">DeepMatcher</a></b> (🥉22 ·  ⭐ 4.4K · 💀) - Python package for performing Entity and Text Matching using.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/asyml/texar">Texar</a></b> (🥉22 ·  ⭐ 2.3K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/Hironsan/anago">anaGo</a></b> (🥉22 ·  ⭐ 1.5K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/nipunsadvilkar/pySBD">pySBD</a></b> (🥉22 ·  ⭐ 510 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/Alir3z4/python-stop-words">stop-words</a></b> (🥉21 ·  ⭐ 140 · 💀) - Get list of common stop words in various languages in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/Delta-ML/delta">DELTA</a></b> (🥉20 ·  ⭐ 1.5K · 💀) - DELTA is a deep learning based natural language and speech.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/vrasneur/pyfasttext">pyfasttext</a></b> (🥉20 ·  ⭐ 230 · 💀) - Yet another Python binding for fastText. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/textpipe/textpipe">textpipe</a></b> (🥉19 ·  ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/dsfsi/textaugment">textaugment</a></b> (🥉18 ·  ⭐ 280) - TextAugment: Text Augmentation Library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/Franck-Dernoncourt/NeuroNER">NeuroNER</a></b> (🥉17 ·  ⭐ 1.6K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/koursaros-ai/nboost">nboost</a></b> (🥉17 ·  ⭐ 640 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/shaypal5/skift">skift</a></b> (🥉17 ·  ⭐ 230) - scikit-learn wrappers for Python fastText. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/PKSHATechnology-Research/camphr">Camphr</a></b> (🥉16 ·  ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code>spacy</code>
- <b><a href="https://github.com/jaidevd/numerizer">numerizer</a></b> (🥉16 ·  ⭐ 190) - A Python module to convert natural language numerics into ints and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/MartinoMensio/spacy-dbpedia-spotlight">spacy-dbpedia-spotlight</a></b> (🥉15 ·  ⭐ 83) - A spaCy wrapper for DBpedia Spotlight. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>spacy</code>
- <b><a href="https://github.com/facebookresearch/BLINK">BLINK</a></b> (🥉14 ·  ⭐ 960 · 💀) - Entity Linker solution. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/as-ideas/headliner">Headliner</a></b> (🥉14 ·  ⭐ 230 · 💀) - Easy training and deployment of seq2seq models. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/victordibia/neuralqa">NeuralQA</a></b> (🥉14 ·  ⭐ 220 · 💀) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/abelriboulot/onnxt5">ONNX-T5</a></b> (🥉14 ·  ⭐ 210 · 💀) - Summarization, translation, sentiment-analysis, text-generation.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/feedly/transfer-nlp">TransferNLP</a></b> (🥉13 ·  ⭐ 290 · 💀) - NLP library designed for reproducible experimentation.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/textvec/textvec">textvec</a></b> (🥉12 ·  ⭐ 180) - Text vectorization tool to outperform TFIDF for classification tasks. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
</details>
<br>

## Image Data

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification._

<details><summary><b><a href="https://github.com/python-pillow/Pillow">Pillow</a></b> (🥇47 ·  ⭐ 10K) - The friendly PIL fork (Python Imaging Library). <code><a href="https://tldrlegal.com/search?q=PIL">❗️PIL</a></code></summary>

- [GitHub](https://github.com/python-pillow/Pillow) (👨‍💻 420 · 🔀 1.9K · 📦 900K · 📋 2.7K - 4% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/python-pillow/Pillow
	```
- [PyPi](https://pypi.org/project/Pillow) (📥 50M / month · 📦 63K · ⏱️ 01.07.2022):
	```
	pip install Pillow
	```
- [Conda](https://anaconda.org/conda-forge/pillow) (📥 20M · ⏱️ 28.10.2022):
	```
	conda install -c conda-forge pillow
	```
</details>
<details><summary><b><a href="https://github.com/scikit-image/scikit-image">scikit-image</a></b> (🥇44 ·  ⭐ 5.1K) - Image processing in Python. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>

- [GitHub](https://github.com/scikit-image/scikit-image) (👨‍💻 580 · 🔀 2.1K · 📦 120K · 📋 2.5K - 25% open · ⏱️ 06.11.2022):

	```
	git clone https://github.com/scikit-image/scikit-image
	```
- [PyPi](https://pypi.org/project/scikit-image) (📥 6M / month · 📦 9.4K · ⏱️ 12.06.2022):
	```
	pip install scikit-image
	```
- [Conda](https://anaconda.org/conda-forge/scikit-image) (📥 4.2M · ⏱️ 30.10.2022):
	```
	conda install -c conda-forge scikit-image
	```
</details>
<details><summary><b><a href="https://github.com/pytorch/vision">torchvision</a></b> (🥇42 ·  ⭐ 13K) - Datasets, Transforms and Models specific to Computer Vision. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pytorch/vision) (👨‍💻 510 · 🔀 6.3K · 📥 15K · 📋 2.8K - 29% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/pytorch/vision
	```
- [PyPi](https://pypi.org/project/torchvision) (📥 6.7M / month · 📦 3.7K · ⏱️ 28.06.2022):
	```
	pip install torchvision
	```
- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 420K · ⏱️ 24.07.2022):
	```
	conda install -c conda-forge torchvision
	```
</details>
<details><summary><b><a href="https://github.com/rwightman/pytorch-image-models">PyTorch Image Models</a></b> (🥇39 ·  ⭐ 22K) - PyTorch image models, scripts, pretrained weights --.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/rwightman/pytorch-image-models) (👨‍💻 85 · 🔀 3.6K · 📥 2.3M · 📦 5.7K · 📋 620 - 12% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/rwightman/pytorch-image-models
	```
- [PyPi](https://pypi.org/project/timm) (📥 1.6M / month · 📦 110 · ⏱️ 15.05.2022):
	```
	pip install timm
	```
- [Conda](https://anaconda.org/conda-forge/timm) (📥 35K · ⏱️ 30.06.2021):
	```
	conda install -c conda-forge timm
	```
</details>
<details><summary><b><a href="https://github.com/open-mmlab/mmdetection">MMDetection</a></b> (🥇37 ·  ⭐ 22K) - OpenMMLab Detection Toolbox and Benchmark. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/open-mmlab/mmdetection) (👨‍💻 370 · 🔀 8K · 📦 690 · 📋 6.6K - 9% open · ⏱️ 25.10.2022):

	```
	git clone https://github.com/open-mmlab/mmdetection
	```
- [PyPi](https://pypi.org/project/mmdet) (📥 82K / month · 📦 10 · ⏱️ 01.06.2022):
	```
	pip install mmdet
	```
</details>
<details><summary><b><a href="https://github.com/Zulko/moviepy">MoviePy</a></b> (🥇37 ·  ⭐ 9.8K) - Video editing with Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/Zulko/moviepy) (👨‍💻 150 · 🔀 1.3K · 📦 19K · 📋 1.3K - 24% open · ⏱️ 10.10.2022):

	```
	git clone https://github.com/Zulko/moviepy
	```
- [PyPi](https://pypi.org/project/moviepy) (📥 2.1M / month · 📦 780 · ⏱️ 05.10.2020):
	```
	pip install moviepy
	```
- [Conda](https://anaconda.org/conda-forge/moviepy) (📥 140K · ⏱️ 07.10.2022):
	```
	conda install -c conda-forge moviepy
	```
</details>
<details><summary><b><a href="https://github.com/imageio/imageio">imageio</a></b> (🥇37 ·  ⭐ 1.1K) - Python library for reading and writing image data. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>

- [GitHub](https://github.com/imageio/imageio) (👨‍💻 94 · 🔀 230 · 📥 390 · 📦 72K · 📋 500 - 13% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/imageio/imageio
	```
- [PyPi](https://pypi.org/project/imageio) (📥 13M / month · 📦 2.6K · ⏱️ 30.05.2022):
	```
	pip install imageio
	```
- [Conda](https://anaconda.org/conda-forge/imageio) (📥 3.9M · ⏱️ 19.09.2022):
	```
	conda install -c conda-forge imageio
	```
</details>
<details><summary><b><a href="https://github.com/albumentations-team/albumentations">Albumentations</a></b> (🥈36 ·  ⭐ 11K) - Fast image augmentation library and an easy-to-use wrapper.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/albumentations-team/albumentations) (👨‍💻 120 · 🔀 1.4K · 📦 10K · 📋 700 - 42% open · ⏱️ 31.10.2022):

	```
	git clone https://github.com/albumentations-team/albumentations
	```
- [PyPi](https://pypi.org/project/albumentations) (📥 1.3M / month · 📦 220 · ⏱️ 15.06.2022):
	```
	pip install albumentations
	```
- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 72K · ⏱️ 20.09.2022):
	```
	conda install -c conda-forge albumentations
	```
</details>
<details><summary><b><a href="https://github.com/emcconville/wand">Wand</a></b> (🥈35 ·  ⭐ 1.2K) - The ctypes-based simple ImageMagick binding for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/emcconville/wand) (👨‍💻 100 · 🔀 200 · 📥 8.5K · 📦 13K · 📋 390 - 4% open · ⏱️ 13.10.2022):

	```
	git clone https://github.com/emcconville/wand
	```
- [PyPi](https://pypi.org/project/wand) (📥 460K / month · 📦 690 · ⏱️ 17.08.2021):
	```
	pip install wand
	```
- [Conda](https://anaconda.org/conda-forge/wand) (📥 18K · ⏱️ 22.08.2022):
	```
	conda install -c conda-forge wand
	```
</details>
<details><summary><b><a href="https://github.com/kornia/kornia">Kornia</a></b> (🥈34 ·  ⭐ 7.4K) - Open Source Differentiable Computer Vision Library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/kornia/kornia) (👨‍💻 190 · 🔀 740 · 📥 460 · 📋 670 - 30% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/kornia/kornia
	```
- [PyPi](https://pypi.org/project/kornia) (📥 1.2M / month · 📦 58 · ⏱️ 17.05.2022):
	```
	pip install kornia
	```
- [Conda](https://anaconda.org/conda-forge/kornia) (📥 47K · ⏱️ 13.10.2022):
	```
	conda install -c conda-forge kornia
	```
</details>
<details><summary><b><a href="https://github.com/JohannesBuchner/imagehash">ImageHash</a></b> (🥈34 ·  ⭐ 2.6K) - A Python Perceptual Image Hashing Module. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>

- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨‍💻 23 · 🔀 310 · 📦 6.4K · 📋 120 - 9% open · ⏱️ 28.09.2022):

	```
	git clone https://github.com/JohannesBuchner/imagehash
	```
- [PyPi](https://pypi.org/project/ImageHash) (📥 1.2M / month · 📦 340 · ⏱️ 15.07.2021):
	```
	pip install ImageHash
	```
- [Conda](https://anaconda.org/conda-forge/imagehash) (📥 250K · ⏱️ 28.09.2022):
	```
	conda install -c conda-forge imagehash
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/detectron2">detectron2</a></b> (🥈33 ·  ⭐ 23K) - Detectron2 is a platform for object detection, segmentation.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/detectron2) (👨‍💻 220 · 🔀 6.1K · 📦 770 · 📋 3.2K - 9% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/facebookresearch/detectron2
	```
- [PyPi](https://pypi.org/project/detectron2) (📥 1 / month · 📦 3 · ⏱️ 06.02.2020):
	```
	pip install detectron2
	```
- [Conda](https://anaconda.org/conda-forge/detectron2) (📥 100K · ⏱️ 25.04.2022):
	```
	conda install -c conda-forge detectron2
	```
</details>
<details><summary><b><a href="https://github.com/deepinsight/insightface">InsightFace</a></b> (🥈33 ·  ⭐ 13K) - State-of-the-art 2D and 3D Face Analysis Project. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/deepinsight/insightface) (👨‍💻 50 · 🔀 4K · 📦 210 · 📋 2.1K - 56% open · ⏱️ 28.10.2022):

	```
	git clone https://github.com/deepinsight/insightface
	```
- [PyPi](https://pypi.org/project/insightface) (📥 25K / month · 📦 5 · ⏱️ 29.01.2022):
	```
	pip install insightface
	```
</details>
<details><summary><b><a href="https://github.com/PaddlePaddle/PaddleDetection">PaddleDetection</a></b> (🥈33 ·  ⭐ 9K) - Object Detection toolkit based on PaddlePaddle. It.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨‍💻 120 · 🔀 2.3K · 📦 40 · 📋 4.2K - 20% open · ⏱️ 31.10.2022):

	```
	git clone https://github.com/PaddlePaddle/PaddleDetection
	```
- [PyPi](https://pypi.org/project/paddledet) (📥 1.4K / month · ⏱️ 24.04.2022):
	```
	pip install paddledet
	```
</details>
<details><summary><b><a href="https://github.com/opencv/opencv-python">opencv-python</a></b> (🥈33 ·  ⭐ 3.1K) - Automated CI toolchain to produce precompiled opencv-python,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/opencv/opencv-python) (👨‍💻 40 · 🔀 600 · 📋 600 - 9% open · ⏱️ 29.08.2022):

	```
	git clone https://github.com/opencv/opencv-python
	```
- [PyPi](https://pypi.org/project/opencv-python) (📥 6.5M / month · 📦 9.4K · ⏱️ 08.06.2022):
	```
	pip install opencv-python
	```
</details>
<details><summary><b><a href="https://github.com/ageitgey/face_recognition">Face Recognition</a></b> (🥈32 ·  ⭐ 46K) - The worlds simplest facial recognition api for Python and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/ageitgey/face_recognition) (👨‍💻 54 · 🔀 13K · 📥 470 · 📋 1.3K - 54% open · ⏱️ 10.06.2022):

	```
	git clone https://github.com/ageitgey/face_recognition
	```
- [PyPi](https://pypi.org/project/face_recognition) (📥 50K / month · 📦 46 · ⏱️ 20.02.2020):
	```
	pip install face_recognition
	```
- [Conda](https://anaconda.org/conda-forge/face_recognition) (📥 11K · ⏱️ 30.04.2021):
	```
	conda install -c conda-forge face_recognition
	```
</details>
<details><summary><b><a href="https://github.com/PaddlePaddle/PaddleSeg">PaddleSeg</a></b> (🥈32 ·  ⭐ 6K) - Easy-to-use image segmentation library with awesome pre-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (👨‍💻 84 · 🔀 1.3K · 📦 710 · 📋 1.4K - 45% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/PaddlePaddle/PaddleSeg
	```
- [PyPi](https://pypi.org/project/paddleseg) (📥 3.4K / month · 📦 2 · ⏱️ 20.04.2022):
	```
	pip install paddleseg
	```
</details>
<details><summary><b><a href="https://github.com/dmlc/gluon-cv">GluonCV</a></b> (🥈32 ·  ⭐ 5.4K) - Gluon CV Toolkit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/dmlc/gluon-cv) (👨‍💻 120 · 🔀 1.2K · 📦 910 · 📋 830 - 7% open · ⏱️ 11.08.2022):

	```
	git clone https://github.com/dmlc/gluon-cv
	```
- [PyPi](https://pypi.org/project/gluoncv) (📥 610K / month · 📦 59 · ⏱️ 07.07.2022):
	```
	pip install gluoncv
	```
</details>
<details><summary><b><a href="https://github.com/PyImageSearch/imutils">imutils</a></b> (🥈31 ·  ⭐ 4.2K · 💤) - A series of convenience functions to make basic image processing.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/PyImageSearch/imutils) (👨‍💻 21 · 🔀 1K · 📦 29K · 📋 230 - 65% open · ⏱️ 27.01.2022):

	```
	git clone https://github.com/PyImageSearch/imutils
	```
- [PyPi](https://pypi.org/project/imutils) (📥 350K / month · 📦 780 · ⏱️ 15.01.2021):
	```
	pip install imutils
	```
- [Conda](https://anaconda.org/conda-forge/imutils) (📥 110K · ⏱️ 06.11.2022):
	```
	conda install -c conda-forge imutils
	```
</details>
<details><summary><b><a href="https://github.com/serengil/deepface">deepface</a></b> (🥈30 ·  ⭐ 4.9K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/serengil/deepface) (👨‍💻 30 · 🔀 1K · 📦 860 · 📋 550 - 0% open · ⏱️ 24.10.2022):

	```
	git clone https://github.com/serengil/deepface
	```
- [PyPi](https://pypi.org/project/deepface) (📥 45K / month · 📦 3 · ⏱️ 10.05.2022):
	```
	pip install deepface
	```
</details>
<details><summary><b><a href="https://github.com/luispedro/mahotas">mahotas</a></b> (🥈29 ·  ⭐ 780 · 📈) - Computer Vision in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/luispedro/mahotas) (👨‍💻 32 · 🔀 150 · 📦 890 · 📋 82 - 23% open · ⏱️ 28.06.2022):

	```
	git clone https://github.com/luispedro/mahotas
	```
- [PyPi](https://pypi.org/project/mahotas) (📥 11K / month · 📦 120 · ⏱️ 28.06.2022):
	```
	pip install mahotas
	```
- [Conda](https://anaconda.org/conda-forge/mahotas) (📥 340K · ⏱️ 05.11.2022):
	```
	conda install -c conda-forge mahotas
	```
</details>
<details><summary><b><a href="https://github.com/lucidrains/vit-pytorch">vit-pytorch</a></b> (🥈28 ·  ⭐ 12K) - Implementation of Vision Transformer, a simple way to achieve.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨‍💻 17 · 🔀 2K · 📦 150 · 📋 210 - 48% open · ⏱️ 29.10.2022):

	```
	git clone https://github.com/lucidrains/vit-pytorch
	```
- [PyPi](https://pypi.org/project/vit-pytorch) (📥 21K / month · 📦 3 · ⏱️ 30.06.2022):
	```
	pip install vit-pytorch
	```
</details>
<details><summary><b><a href="https://github.com/lightly-ai/lightly">lightly</a></b> (🥈28 ·  ⭐ 1.9K) - A python library for self-supervised learning on images. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/lightly-ai/lightly) (👨‍💻 19 · 🔀 150 · 📦 60 · 📋 330 - 21% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/lightly-ai/lightly
	```
- [PyPi](https://pypi.org/project/lightly) (📥 2.5K / month · 📦 1 · ⏱️ 05.07.2022):
	```
	pip install lightly
	```
</details>
<details><summary><b><a href="https://github.com/CellProfiler/CellProfiler">CellProfiler</a></b> (🥈28 ·  ⭐ 720) - An open-source application for biological image analysis. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨‍💻 130 · 🔀 330 · 📥 4.1K · 📦 10 · 📋 3.1K - 6% open · ⏱️ 15.10.2022):

	```
	git clone https://github.com/CellProfiler/CellProfiler
	```
- [PyPi](https://pypi.org/project/cellprofiler) (📥 550 / month · ⏱️ 22.07.2021):
	```
	pip install cellprofiler
	```
</details>
<details><summary><b><a href="https://github.com/obss/sahi">sahi</a></b> (🥉27 ·  ⭐ 2.1K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/obss/sahi) (👨‍💻 19 · 🔀 320 · 📥 8.2K · 📦 170 · ⏱️ 03.11.2022):

	```
	git clone https://github.com/obss/sahi
	```
- [PyPi](https://pypi.org/project/sahi) (📥 89K / month · 📦 5 · ⏱️ 25.06.2022):
	```
	pip install sahi
	```
- [Conda](https://anaconda.org/conda-forge/sahi) (📥 21K · ⏱️ 02.11.2022):
	```
	conda install -c conda-forge sahi
	```
</details>
<details><summary><b><a href="https://github.com/mindee/doctr">doctr</a></b> (🥉27 ·  ⭐ 1.4K) - docTR (Document Text Recognition) - a seamless, high-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/mindee/doctr) (👨‍💻 27 · 🔀 170 · 📥 820K · 📦 39 · 📋 220 - 15% open · ⏱️ 12.10.2022):

	```
	git clone https://github.com/mindee/doctr
	```
- [PyPi](https://pypi.org/project/python-doctr) (📥 5.3K / month · 📦 1 · ⏱️ 22.03.2022):
	```
	pip install python-doctr
	```
</details>
<details><summary><b><a href="https://github.com/mdbloice/Augmentor">Augmentor</a></b> (🥉26 ·  ⭐ 4.8K) - Image augmentation library in Python for machine learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/mdbloice/Augmentor) (👨‍💻 22 · 🔀 850 · 📦 500 · 📋 200 - 63% open · ⏱️ 23.09.2022):

	```
	git clone https://github.com/mdbloice/Augmentor
	```
- [PyPi](https://pypi.org/project/Augmentor) (📥 25K / month · 📦 29 · ⏱️ 27.04.2022):
	```
	pip install Augmentor
	```
</details>
<details><summary><b><a href="https://github.com/timesler/facenet-pytorch">facenet-pytorch</a></b> (🥉26 ·  ⭐ 3.2K · 💤) - Pretrained Pytorch face detection (MTCNN) and facial.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/timesler/facenet-pytorch) (👨‍💻 14 · 🔀 700 · 📥 470K · 📦 900 · 📋 160 - 41% open · ⏱️ 13.12.2021):

	```
	git clone https://github.com/timesler/facenet-pytorch
	```
- [PyPi](https://pypi.org/project/facenet-pytorch) (📥 17K / month · 📦 11 · ⏱️ 10.03.2021):
	```
	pip install facenet-pytorch
	```
</details>
<details><summary><b><a href="https://github.com/abhiTronix/vidgear">vidgear</a></b> (🥉26 ·  ⭐ 2.5K) - A High-performance cross-platform Video Processing Python framework.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/abhiTronix/vidgear) (👨‍💻 13 · 🔀 200 · 📥 680 · 📦 240 · 📋 240 - 2% open · ⏱️ 06.07.2022):

	```
	git clone https://github.com/abhiTronix/vidgear
	```
- [PyPi](https://pypi.org/project/vidgear) (📥 4.9K / month · 📦 5 · ⏱️ 05.07.2022):
	```
	pip install vidgear
	```
</details>
<details><summary><b><a href="https://github.com/tryolabs/norfair">Norfair</a></b> (🥉26 ·  ⭐ 1.7K) - Lightweight Python library for adding real-time multi-object tracking.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/tryolabs/norfair) (👨‍💻 22 · 🔀 160 · 📥 230 · 📋 100 - 5% open · ⏱️ 27.10.2022):

	```
	git clone https://github.com/tryolabs/norfair
	```
- [PyPi](https://pypi.org/project/norfair) (📥 5.4K / month · 📦 1 · ⏱️ 30.05.2022):
	```
	pip install norfair
	```
</details>
<details><summary><b><a href="https://github.com/idealo/imagededup">Image Deduplicator</a></b> (🥉25 ·  ⭐ 4.2K) - Finding duplicate images made easy!. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/idealo/imagededup) (👨‍💻 11 · 🔀 390 · 📦 28 · 📋 120 - 39% open · ⏱️ 23.10.2022):

	```
	git clone https://github.com/idealo/imagededup
	```
- [PyPi](https://pypi.org/project/imagededup) (📥 1.4K / month · 📦 4 · ⏱️ 22.11.2020):
	```
	pip install imagededup
	```
</details>
<details><summary><b><a href="https://github.com/qubvel/segmentation_models">segmentation_models</a></b> (🥉25 ·  ⭐ 4.1K) - Segmentation models with pretrained backbones. Keras.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/qubvel/segmentation_models) (👨‍💻 14 · 🔀 940 · 📋 500 - 47% open · ⏱️ 29.07.2022):

	```
	git clone https://github.com/qubvel/segmentation_models
	```
- [PyPi](https://pypi.org/project/segmentation_models) (📥 21K / month · 📦 24 · ⏱️ 10.01.2020):
	```
	pip install segmentation_models
	```
</details>
<details><summary><b><a href="https://github.com/Layout-Parser/layout-parser">layout-parser</a></b> (🥉25 ·  ⭐ 3.3K) - A Unified Toolkit for Deep Learning Based Document Image.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/Layout-Parser/layout-parser) (👨‍💻 8 · 🔀 320 · 📦 110 · 📋 110 - 54% open · ⏱️ 06.08.2022):

	```
	git clone https://github.com/Layout-Parser/layout-parser
	```
- [PyPi](https://pypi.org/project/layoutparser) (📥 39K / month · 📦 2 · ⏱️ 06.04.2022):
	```
	pip install layoutparser
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/pytorchvideo">pytorchvideo</a></b> (🥉25 ·  ⭐ 2.7K) - A deep learning library for video understanding research. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨‍💻 50 · 🔀 300 · 📋 170 - 40% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/facebookresearch/pytorchvideo
	```
- [PyPi](https://pypi.org/project/pytorchvideo) (📥 16K / month · 📦 5 · ⏱️ 20.01.2022):
	```
	pip install pytorchvideo
	```
</details>
<details><summary><b><a href="https://github.com/libvips/pyvips">pyvips</a></b> (🥉25 ·  ⭐ 450) - python binding for libvips using cffi. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/libvips/pyvips) (👨‍💻 14 · 🔀 42 · 📦 390 · 📋 310 - 37% open · ⏱️ 06.11.2022):

	```
	git clone https://github.com/libvips/pyvips
	```
- [PyPi](https://pypi.org/project/pyvips) (📥 20K / month · 📦 40 · ⏱️ 12.06.2022):
	```
	pip install pyvips
	```
- [Conda](https://anaconda.org/conda-forge/pyvips) (📥 38K · ⏱️ 29.10.2022):
	```
	conda install -c conda-forge pyvips
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/mmf">MMF</a></b> (🥉24 ·  ⭐ 5.1K) - A modular framework for vision & language multimodal research from.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/mmf) (👨‍💻 110 · 🔀 880 · 📦 13 · 📋 670 - 35% open · ⏱️ 19.10.2022):

	```
	git clone https://github.com/facebookresearch/mmf
	```
- [PyPi](https://pypi.org/project/mmf) (📥 210 / month · 📦 1 · ⏱️ 12.06.2020):
	```
	pip install mmf
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/vissl">vissl</a></b> (🥉23 ·  ⭐ 2.8K) - VISSL is FAIRs library of extensible, modular and scalable components.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/vissl) (👨‍💻 34 · 🔀 290 · 📦 13 · 📋 160 - 37% open · ⏱️ 12.10.2022):

	```
	git clone https://github.com/facebookresearch/vissl
	```
- [PyPi](https://pypi.org/project/vissl) (📥 370 / month · 📦 1 · ⏱️ 02.11.2021):
	```
	pip install vissl
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/graphics">tensorflow-graphics</a></b> (🥉23 ·  ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/graphics) (👨‍💻 37 · 🔀 340 · 📋 220 - 58% open · ⏱️ 05.10.2022):

	```
	git clone https://github.com/tensorflow/graphics
	```
- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 4.1K / month · 📦 4 · ⏱️ 03.12.2021):
	```
	pip install tensorflow-graphics
	```
</details>
<details><summary><b><a href="https://github.com/airctic/icevision">icevision</a></b> (🥉23 ·  ⭐ 770) - An Agnostic Computer Vision Framework - Pluggable to any Training.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/airctic/icevision) (👨‍💻 41 · 🔀 120 · 📋 560 - 9% open · ⏱️ 29.09.2022):

	```
	git clone https://github.com/airctic/icevision
	```
- [PyPi](https://pypi.org/project/icevision) (📥 3.6K / month · 📦 5 · ⏱️ 10.02.2022):
	```
	pip install icevision
	```
</details>
<details><summary><b><a href="https://github.com/lucidrains/deep-daze">deep-daze</a></b> (🥉22 ·  ⭐ 4.4K · 💤) - Simple command line tool for text to image generation using.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/lucidrains/deep-daze) (👨‍💻 14 · 🔀 320 · 📦 46 · 📋 170 - 56% open · ⏱️ 13.03.2022):

	```
	git clone https://github.com/lucidrains/deep-daze
	```
- [PyPi](https://pypi.org/project/deep-daze) (📥 1K / month · ⏱️ 13.03.2022):
	```
	pip install deep-daze
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/pycls">pycls</a></b> (🥉21 ·  ⭐ 2K) - Codebase for Image Classification Research, written in PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/pycls) (👨‍💻 17 · 🔀 230 · 📦 8 · 📋 81 - 30% open · ⏱️ 12.07.2022):

	```
	git clone https://github.com/facebookresearch/pycls
	```
- [PyPi](https://pypi.org/project/pycls) (📥 430K / month · ⏱️ 05.09.2020):
	```
	pip install pycls
	```
</details>
<details><summary><b><a href="https://github.com/google-research/kubric">kubric</a></b> (🥉21 ·  ⭐ 1.7K) - A data generation pipeline for creating semi-realistic synthetic.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/google-research/kubric) (👨‍💻 21 · 🔀 140 · 📋 160 - 28% open · ⏱️ 21.09.2022):

	```
	git clone https://github.com/google-research/kubric
	```
- [PyPi](https://pypi.org/project/kubric-nightly) (📥 3.5K / month · ⏱️ 06.07.2022):
	```
	pip install kubric-nightly
	```
</details>
<details><summary><b><a href="https://github.com/google-research/scenic">scenic</a></b> (🥉21 ·  ⭐ 1.5K) - Scenic: A Jax Library for Computer Vision Research and Beyond. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/google-research/scenic) (👨‍💻 52 · 🔀 200 · 📦 28 · 📋 83 - 40% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/google-research/scenic
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/ClassyVision">Classy Vision</a></b> (🥉21 ·  ⭐ 1.5K) - An end-to-end PyTorch framework for image and video.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/ClassyVision) (👨‍💻 77 · 🔀 260 · 📋 120 - 45% open · ⏱️ 27.09.2022):

	```
	git clone https://github.com/facebookresearch/ClassyVision
	```
- [PyPi](https://pypi.org/project/classy_vision) (📥 2.9K / month · 📦 2 · ⏱️ 09.07.2021):
	```
	pip install classy_vision
	```
- [Conda](https://anaconda.org/conda-forge/classy_vision) (📥 15K · ⏱️ 22.03.2022):
	```
	conda install -c conda-forge classy_vision
	```
</details>
<details><summary><b><a href="https://github.com/alankbi/detecto">detecto</a></b> (🥉21 ·  ⭐ 570 · 💤) - Build fully-functioning computer vision models with PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/alankbi/detecto) (👨‍💻 12 · 🔀 97 · 📦 110 · 📋 98 - 37% open · ⏱️ 09.02.2022):

	```
	git clone https://github.com/alankbi/detecto
	```
- [PyPi](https://pypi.org/project/detecto) (📥 10K / month · 📦 2 · ⏱️ 02.02.2022):
	```
	pip install detecto
	```
- [Conda](https://anaconda.org/conda-forge/detecto) (📥 1.8K · ⏱️ 02.02.2022):
	```
	conda install -c conda-forge detecto
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/SlowFast">PySlowFast</a></b> (🥉20 ·  ⭐ 5.2K) - PySlowFast: video understanding codebase from FAIR for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/SlowFast) (👨‍💻 29 · 🔀 1K · 📦 10 · 📋 590 - 54% open · ⏱️ 27.09.2022):

	```
	git clone https://github.com/facebookresearch/SlowFast
	```
- [PyPi](https://pypi.org/project/pyslowfast) (📥 15 / month · ⏱️ 15.01.2020):
	```
	pip install pyslowfast
	```
</details>
<details><summary><b><a href="https://github.com/libffcv/ffcv">ffcv</a></b> (🥉20 ·  ⭐ 2.3K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/libffcv/ffcv) (👨‍💻 17 · 🔀 130 · 📦 11 · 📋 200 - 26% open · ⏱️ 21.07.2022):

	```
	git clone https://github.com/libffcv/ffcv
	```
- [PyPi](https://pypi.org/project/ffcv) (📥 650 / month · ⏱️ 28.01.2022):
	```
	pip install ffcv
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/detr">DE⫶TR</a></b> (🥉19 ·  ⭐ 10K · 💤) - End-to-End Object Detection with Transformers. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/detr) (👨‍💻 25 · 🔀 1.8K · 📋 470 - 40% open · ⏱️ 07.03.2022):

	```
	git clone https://github.com/facebookresearch/detr
	```
</details>
<details><summary>Show 16 hidden projects...</summary>

- <b><a href="https://github.com/glfw/glfw">glfw</a></b> (🥈36 ·  ⭐ 9.8K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. <code><a href="https://tldrlegal.com/search?q=Zlib">❗️Zlib</a></code>
- <b><a href="https://github.com/aleju/imgaug">imgaug</a></b> (🥈34 ·  ⭐ 13K · 💀) - Image augmentation for machine learning experiments. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/OlafenwaMoses/ImageAI">imageai</a></b> (🥈30 ·  ⭐ 7.3K · 💀) - A python library built to empower developers to build applications.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/facebookresearch/pytorch3d">PyTorch3D</a></b> (🥈29 ·  ⭐ 6.7K) - PyTorch3D is FAIRs library of reusable components for.. <code>❗Unlicensed</code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/chainer/chainercv">chainercv</a></b> (🥉27 ·  ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/1adrianb/face-alignment">Face Alignment</a></b> (🥉26 ·  ⭐ 6K · 💀) - 2D and 3D Face alignment library build using pytorch. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/uploadcare/pillow-simd">Pillow-SIMD</a></b> (🥉25 ·  ⭐ 1.9K) - The friendly PIL fork. <code><a href="https://tldrlegal.com/search?q=PIL">❗️PIL</a></code>
- <b><a href="https://github.com/ipazc/mtcnn">mtcnn</a></b> (🥉25 ·  ⭐ 1.9K · 💀) - MTCNN face detection implementation for TensorFlow, as a PIP.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/idealo/image-super-resolution">Image Super-Resolution</a></b> (🥉23 ·  ⭐ 3.9K · 💀) - Super-scale your images and run experiments with.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/tryolabs/luminoth">Luminoth</a></b> (🥉23 ·  ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/hhatto/nude.py">nude.py</a></b> (🥉21 ·  ⭐ 870 · 💀) - Nudity detection with Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/ProvenanceLabs/image-match">image-match</a></b> (🥉20 ·  ⭐ 2.8K · 💀) - Quickly search over billions of images. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/jasmcaus/caer">Caer</a></b> (🥉18 ·  ⭐ 660 · 💀) - A lightweight Computer Vision library. Scale your models, not boilerplate. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/Oulu-IMEDS/solt">solt</a></b> (🥉16 ·  ⭐ 260) - Streaming over lightweight data transformations. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/nicolas-chaulet/torch-points3d">Torch Points 3D</a></b> (🥉16 ·  ⭐ 110 · 💤) - Pytorch framework for doing deep learning on point.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/qanastek/HugsVision">HugsVision</a></b> (🥉14 ·  ⭐ 170 · 💤) - HugsVision is a easy to use huggingface wrapper for state-of-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>huggingface</code>
</details>
<br>

## Graph Data

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for graph processing, clustering, embedding, and machine learning tasks._

<details><summary><b><a href="https://github.com/networkx/networkx">networkx</a></b> (🥇44 ·  ⭐ 12K) - Network Analysis in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/networkx/networkx) (👨‍💻 630 · 🔀 2.8K · 📥 60 · 📦 120K · 📋 3.1K - 12% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/networkx/networkx
	```
- [PyPi](https://pypi.org/project/networkx) (📥 20M / month · 📦 13K · ⏱️ 14.06.2022):
	```
	pip install networkx
	```
- [Conda](https://anaconda.org/conda-forge/networkx) (📥 8.8M · ⏱️ 02.11.2022):
	```
	conda install -c conda-forge networkx
	```
</details>
<details><summary><b><a href="https://github.com/pyg-team/pytorch_geometric">PyTorch Geometric</a></b> (🥇38 ·  ⭐ 16K) - Graph Neural Network Library for PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨‍💻 340 · 🔀 2.9K · 📋 2.8K - 23% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/pyg-team/pytorch_geometric
	```
- [PyPi](https://pypi.org/project/torch-geometric) (📥 110K / month · 📦 50 · ⏱️ 12.03.2022):
	```
	pip install torch-geometric
	```
- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 13K · ⏱️ 19.08.2022):
	```
	conda install -c conda-forge pytorch_geometric
	```
</details>
<details><summary><b><a href="https://github.com/dmlc/dgl">dgl</a></b> (🥇36 ·  ⭐ 11K) - Python package built to ease deep learning on graph, on top of existing DL.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/dmlc/dgl) (👨‍💻 240 · 🔀 2.6K · 📦 33 · 📋 2K - 17% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/dmlc/dgl
	```
- [PyPi](https://pypi.org/project/dgl) (📥 37K / month · 📦 46 · ⏱️ 16.03.2022):
	```
	pip install dgl
	```
</details>
<details><summary><b><a href="https://github.com/snap-stanford/ogb">ogb</a></b> (🥈30 ·  ⭐ 1.5K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/snap-stanford/ogb) (👨‍💻 23 · 🔀 340 · 📦 470 · 📋 240 - 1% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/snap-stanford/ogb
	```
- [PyPi](https://pypi.org/project/ogb) (📥 22K / month · 📦 18 · ⏱️ 23.02.2022):
	```
	pip install ogb
	```
- [Conda](https://anaconda.org/conda-forge/ogb) (📥 14K · ⏱️ 03.11.2022):
	```
	conda install -c conda-forge ogb
	```
</details>
<details><summary><b><a href="https://github.com/graphistry/pygraphistry">pygraphistry</a></b> (🥈27 ·  ⭐ 1.7K) - PyGraphistry is a Python library to quickly load, shape,.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/graphistry/pygraphistry) (👨‍💻 29 · 🔀 180 · 📦 77 · 📋 250 - 47% open · ⏱️ 24.10.2022):

	```
	git clone https://github.com/graphistry/pygraphistry
	```
- [PyPi](https://pypi.org/project/graphistry) (📥 2.8K / month · 📦 4 · ⏱️ 02.07.2022):
	```
	pip install graphistry
	```
</details>
<details><summary><b><a href="https://github.com/PaddlePaddle/PGL">Paddle Graph Learning</a></b> (🥈27 ·  ⭐ 1.4K) - Paddle Graph Learning (PGL) is an efficient and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/PaddlePaddle/PGL) (👨‍💻 29 · 🔀 280 · 📦 34 · 📋 160 - 38% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/PaddlePaddle/PGL
	```
- [PyPi](https://pypi.org/project/pgl) (📥 5.4K / month · 📦 2 · ⏱️ 21.04.2022):
	```
	pip install pgl
	```
</details>
<details><summary><b><a href="https://github.com/danielegrattarola/spektral">Spektral</a></b> (🥈26 ·  ⭐ 2.2K) - Graph Neural Networks with Keras and Tensorflow 2. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/danielegrattarola/spektral) (👨‍💻 24 · 🔀 320 · 📦 160 · 📋 240 - 19% open · ⏱️ 19.10.2022):

	```
	git clone https://github.com/danielegrattarola/spektral
	```
- [PyPi](https://pypi.org/project/spektral) (📥 5.4K / month · 📦 3 · ⏱️ 09.04.2022):
	```
	pip install spektral
	```
</details>
<details><summary><b><a href="https://github.com/benedekrozemberczki/pytorch_geometric_temporal">pytorch_geometric_temporal</a></b> (🥈25 ·  ⭐ 1.8K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨‍💻 24 · 🔀 260 · 📋 120 - 6% open · ⏱️ 25.10.2022):

	```
	git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
	```
- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 2.9K / month · 📦 2 · ⏱️ 04.04.2022):
	```
	pip install torch-geometric-temporal
	```
</details>
<details><summary><b><a href="https://github.com/pykeen/pykeen">PyKEEN</a></b> (🥈25 ·  ⭐ 1K) - A Python library for learning and evaluating knowledge graph embeddings. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/pykeen/pykeen) (👨‍💻 31 · 🔀 140 · 📥 140 · 📋 450 - 16% open · ⏱️ 22.10.2022):

	```
	git clone https://github.com/pykeen/pykeen
	```
- [PyPi](https://pypi.org/project/pykeen) (📥 3.3K / month · 📦 3 · ⏱️ 24.05.2022):
	```
	pip install pykeen
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/PyTorch-BigGraph">PyTorch-BigGraph</a></b> (🥈24 ·  ⭐ 3.1K) - Generate embeddings from large-scale graph-structured.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (👨‍💻 28 · 🔀 420 · 📥 140 · 📋 190 - 28% open · ⏱️ 09.09.2022):

	```
	git clone https://github.com/facebookresearch/PyTorch-BigGraph
	```
- [PyPi](https://pypi.org/project/torchbiggraph) (📥 280K / month · 📦 3 · ⏱️ 01.05.2019):
	```
	pip install torchbiggraph
	```
</details>
<details><summary><b><a href="https://github.com/graph4ai/graph4nlp">graph4nlp</a></b> (🥉23 ·  ⭐ 1.5K) - Graph4nlp is the library for the easy use of Graph Neural.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/graph4ai/graph4nlp) (👨‍💻 27 · 🔀 180 · 📋 170 - 6% open · ⏱️ 28.05.2022):

	```
	git clone https://github.com/graph4ai/graph4nlp
	```
- [PyPi](https://pypi.org/project/graph4nlp) (📥 170 / month · ⏱️ 20.01.2022):
	```
	pip install graph4nlp
	```
</details>
<details><summary><b><a href="https://github.com/eliorc/node2vec">Node2Vec</a></b> (🥉23 ·  ⭐ 980) - Implementation of the node2vec algorithm. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/eliorc/node2vec) (👨‍💻 12 · 🔀 220 · 📋 81 - 2% open · ⏱️ 19.10.2022):

	```
	git clone https://github.com/eliorc/node2vec
	```
- [PyPi](https://pypi.org/project/node2vec) (📥 110K / month · 📦 16 · ⏱️ 30.04.2022):
	```
	pip install node2vec
	```
- [Conda](https://anaconda.org/conda-forge/node2vec) (📥 23K · ⏱️ 25.04.2020):
	```
	conda install -c conda-forge node2vec
	```
</details>
<details><summary><b><a href="https://github.com/rusty1s/pytorch_cluster">torch-cluster</a></b> (🥉21 ·  ⭐ 580) - PyTorch Extension Library of Optimized Graph Cluster.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨‍💻 26 · 🔀 110 · 📋 110 - 20% open · ⏱️ 17.10.2022):

	```
	git clone https://github.com/rusty1s/pytorch_cluster
	```
- [PyPi](https://pypi.org/project/torch-cluster) (📥 13K / month · 📦 30 · ⏱️ 11.03.2022):
	```
	pip install torch-cluster
	```
- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 45K · ⏱️ 25.10.2022):
	```
	conda install -c conda-forge pytorch_cluster
	```
</details>
<details><summary><b><a href="https://github.com/deepmind/jraph">jraph</a></b> (🥉19 ·  ⭐ 1.1K) - A Graph Neural Network Library in Jax. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/deepmind/jraph) (👨‍💻 17 · 🔀 65 · 📦 33 · 📋 41 - 36% open · ⏱️ 31.08.2022):

	```
	git clone https://github.com/deepmind/jraph
	```
- [PyPi](https://pypi.org/project/jraph) (📥 3.3K / month · 📦 2 · ⏱️ 06.06.2022):
	```
	pip install jraph
	```
- [Conda](https://anaconda.org/conda-forge/jraph) (📥 1.1K · ⏱️ 31.10.2021):
	```
	conda install -c conda-forge jraph
	```
</details>
<details><summary><b><a href="https://github.com/vaticle/typedb-ml">kglib</a></b> (🥉17 ·  ⭐ 530) - TypeDB-ML is the Machine Learning integrations library for TypeDB. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/vaticle/typedb-ml) (👨‍💻 11 · 🔀 94 · 📥 210 · 📋 61 - 18% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/vaticle/kglib
	```
- [PyPi](https://pypi.org/project/grakn-kglib) (📥 8 / month · ⏱️ 19.08.2020):
	```
	pip install grakn-kglib
	```
</details>
<details><summary><b><a href="https://github.com/shenweichen/GraphEmbedding">GraphEmbedding</a></b> (🥉16 ·  ⭐ 3.1K) - Implementation and experiments of graph embedding algorithms. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/shenweichen/GraphEmbedding) (👨‍💻 9 · 🔀 890 · 📦 21 · 📋 69 - 65% open · ⏱️ 21.06.2022):

	```
	git clone https://github.com/shenweichen/GraphEmbedding
	```
</details>
<details><summary><b><a href="https://github.com/thunlp/OpenKE">OpenKE</a></b> (🥉15 ·  ⭐ 3.2K) - An Open-Source Package for Knowledge Embedding (KE). <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/thunlp/OpenKE) (👨‍💻 11 · 🔀 920 · 📋 360 - 1% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/thunlp/OpenKE
	```
</details>
<details><summary><b><a href="https://github.com/thunlp/OpenNE">OpenNE</a></b> (🥉14 ·  ⭐ 1.6K) - An Open-Source Package for Network Embedding (NE). <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/thunlp/OpenNE) (👨‍💻 11 · 🔀 480 · 📋 100 - 4% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/thunlp/OpenNE
	```
</details>
<details><summary><b><a href="https://github.com/snap-stanford/GraphGym">GraphGym</a></b> (🥉14 ·  ⭐ 1.2K) - Platform for designing and evaluating Graph Neural Networks (GNN). <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/snap-stanford/GraphGym) (👨‍💻 5 · 🔀 140 · 📥 18 · 📦 2 · 📋 35 - 22% open · ⏱️ 25.08.2022):

	```
	git clone https://github.com/snap-stanford/GraphGym
	```
- [PyPi](https://pypi.org/project/graphgym) (📥 47 / month · ⏱️ 24.03.2022):
	```
	pip install graphgym
	```
</details>
<details><summary><b><a href="https://github.com/THUMNLab/AutoGL">AutoGL</a></b> (🥉14 ·  ⭐ 850 · 💤) - An autoML framework & toolkit for machine learning on graphs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/THUMNLab/AutoGL) (👨‍💻 13 · 🔀 100 · 📋 25 - 40% open · ⏱️ 19.04.2022):

	```
	git clone https://github.com/THUMNLab/AutoGL
	```
- [PyPi](https://pypi.org/project/auto-graph-learning) (📥 1 / month · ⏱️ 23.12.2020):
	```
	pip install auto-graph-learning
	```
</details>
<details><summary><b><a href="https://github.com/microsoft/ptgnn">ptgnn</a></b> (🥉13 ·  ⭐ 360 · 💤) - A PyTorch Graph Neural Network Library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/microsoft/ptgnn) (👨‍💻 7 · 🔀 40 · 📦 1 · 📋 7 - 28% open · ⏱️ 01.02.2022):

	```
	git clone https://github.com/microsoft/ptgnn
	```
- [PyPi](https://pypi.org/project/ptgnn) (📥 39 / month · ⏱️ 21.10.2021):
	```
	pip install ptgnn
	```
</details>
<details><summary>Show 15 hidden projects...</summary>

- <b><a href="https://github.com/igraph/python-igraph">igraph</a></b> (🥇32 ·  ⭐ 1K) - Python interface for igraph. <code><a href="http://bit.ly/2KucAZR">❗️GPL-2.0</a></code>
- <b><a href="https://github.com/stellargraph/stellargraph">StellarGraph</a></b> (🥈27 ·  ⭐ 2.5K · 💀) - StellarGraph - Machine Learning on Graphs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/Kozea/pygal">pygal</a></b> (🥈27 ·  ⭐ 2.5K · 💤) - PYthon svg GrAph plotting Library. <code><a href="http://bit.ly/37RvQcA">❗️LGPL-3.0</a></code>
- <b><a href="https://github.com/benedekrozemberczki/karateclub">Karate Club</a></b> (🥈26 ·  ⭐ 1.8K) - Karate Club: An API Oriented Open-source Python Framework for.. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/Accenture/AmpliGraph">AmpliGraph</a></b> (🥈24 ·  ⭐ 1.8K · 💀) - Python library for Representation Learning on Knowledge.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/divelab/DIG">DIG</a></b> (🥉23 ·  ⭐ 1.3K) - A library for graph deep learning research. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/phanein/deepwalk">DeepWalk</a></b> (🥉21 ·  ⭐ 2.5K · 💀) - DeepWalk - Deep Learning for Graphs. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/deepmind/graph_nets">graph-nets</a></b> (🥉20 ·  ⭐ 5.2K · 💀) - Build Graph Nets in Tensorflow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/snap-stanford/deepsnap">deepsnap</a></b> (🥉19 ·  ⭐ 440 · 💀) - Python library assists deep learning on graphs. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/IBCNServices/pyRDF2Vec">pyRDF2Vec</a></b> (🥉19 ·  ⭐ 170) - Python Implementation and Extension of RDF2Vec. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/gsi-upm/sematch">Sematch</a></b> (🥉17 ·  ⭐ 400 · 💀) - semantic similarity framework for knowledge graph. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/deepgraph/deepgraph">DeepGraph</a></b> (🥉17 ·  ⭐ 270 · 💀) - Analyze Data with Pandas-based Networks. Documentation:. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/alibaba/euler">Euler</a></b> (🥉16 ·  ⭐ 2.8K · 💀) - A distributed graph deep learning framework. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/williamleif/GraphSAGE">GraphSAGE</a></b> (🥉15 ·  ⭐ 2.9K · 💀) - Representation learning on large graphs using stochastic.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/DeepGraphLearning/graphvite">GraphVite</a></b> (🥉12 ·  ⭐ 1.1K · 💀) - GraphVite: A General and High-performance Graph Embedding.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
</details>
<br>

## Audio Data

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._

<details><summary><b><a href="https://github.com/espnet/espnet">espnet</a></b> (🥇36 ·  ⭐ 5.7K) - End-to-End Speech Processing Toolkit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/espnet/espnet) (👨‍💻 310 · 🔀 1.7K · 📥 77 · 📦 86 · 📋 2K - 19% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/espnet/espnet
	```
- [PyPi](https://pypi.org/project/espnet) (📥 12K / month · 📦 3 · ⏱️ 28.05.2022):
	```
	pip install espnet
	```
</details>
<details><summary><b><a href="https://github.com/librosa/librosa">librosa</a></b> (🥇34 ·  ⭐ 5.5K) - Python library for audio and music analysis. <code><a href="http://bit.ly/3hkKRql">ISC</a></code></summary>

- [GitHub](https://github.com/librosa/librosa) (👨‍💻 110 · 🔀 850 · 📋 1K - 4% open · ⏱️ 26.10.2022):

	```
	git clone https://github.com/librosa/librosa
	```
- [PyPi](https://pypi.org/project/librosa) (📥 1.5M / month · 📦 1.2K · ⏱️ 27.06.2022):
	```
	pip install librosa
	```
- [Conda](https://anaconda.org/conda-forge/librosa) (📥 540K · ⏱️ 27.06.2022):
	```
	conda install -c conda-forge librosa
	```
</details>
<details><summary><b><a href="https://github.com/speechbrain/speechbrain">speechbrain</a></b> (🥇34 ·  ⭐ 4.8K) - A PyTorch-based Speech Toolkit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/speechbrain/speechbrain) (👨‍💻 190 · 🔀 920 · 📦 310 · 📋 890 - 22% open · ⏱️ 04.11.2022):

	```
	git clone https://github.com/speechbrain/speechbrain
	```
- [PyPi](https://pypi.org/project/speechbrain) (📥 20K / month · 📦 3 · ⏱️ 26.06.2022):
	```
	pip install speechbrain
	```
</details>
<details><summary><b><a href="https://github.com/pytorch/audio">torchaudio</a></b> (🥇34 ·  ⭐ 1.9K) - Data manipulation and transformation for audio signal.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pytorch/audio) (👨‍💻 180 · 🔀 490 · 📋 730 - 27% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/pytorch/audio
	```
- [PyPi](https://pypi.org/project/torchaudio) (📥 620K / month · 📦 160 · ⏱️ 28.06.2022):
	```
	pip install torchaudio
	```
</details>
<details><summary><b><a href="https://github.com/magenta/magenta">Magenta</a></b> (🥈33 ·  ⭐ 18K) - Magenta: Music and Art Generation with Machine Intelligence. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/magenta/magenta) (👨‍💻 150 · 🔀 3.7K · 📦 390 · 📋 940 - 37% open · ⏱️ 04.10.2022):

	```
	git clone https://github.com/magenta/magenta
	```
- [PyPi](https://pypi.org/project/magenta) (📥 4.1K / month · 📦 38 · ⏱️ 12.11.2020):
	```
	pip install magenta
	```
</details>
<details><summary><b><a href="https://github.com/Uberi/speech_recognition">SpeechRecognition</a></b> (🥈32 ·  ⭐ 6.6K) - Speech recognition module for Python, supporting several.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/Uberi/speech_recognition) (👨‍💻 48 · 🔀 2.2K · 📋 540 - 47% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/Uberi/speech_recognition
	```
- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 440K / month · 📦 720 · ⏱️ 05.12.2017):
	```
	pip install SpeechRecognition
	```
- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 150K · ⏱️ 13.12.2021):
	```
	conda install -c conda-forge speechrecognition
	```
</details>
<details><summary><b><a href="https://github.com/jiaaro/pydub">Pydub</a></b> (🥈31 ·  ⭐ 6.5K) - Manipulate audio with a simple and easy high level interface. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/jiaaro/pydub) (👨‍💻 94 · 🔀 860 · 📦 15K · 📋 530 - 50% open · ⏱️ 15.10.2022):

	```
	git clone https://github.com/jiaaro/pydub
	```
- [PyPi](https://pypi.org/project/pydub) (📥 3.1M / month · 📦 900 · ⏱️ 10.03.2021):
	```
	pip install pydub
	```
- [Conda](https://anaconda.org/conda-forge/pydub) (📥 33K · ⏱️ 13.03.2021):
	```
	conda install -c conda-forge pydub
	```
</details>
<details><summary><b><a href="https://github.com/deezer/spleeter">spleeter</a></b> (🥈29 ·  ⭐ 21K) - Deezer source separation library including pretrained models. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/deezer/spleeter) (👨‍💻 19 · 🔀 2.3K · 📥 1.9M · 📋 700 - 22% open · ⏱️ 07.09.2022):

	```
	git clone https://github.com/deezer/spleeter
	```
- [PyPi](https://pypi.org/project/spleeter) (📥 8K / month · 📦 5 · ⏱️ 10.06.2022):
	```
	pip install spleeter
	```
- [Conda](https://anaconda.org/conda-forge/spleeter) (📥 70K · ⏱️ 30.06.2020):
	```
	conda install -c conda-forge spleeter
	```
</details>
<details><summary><b><a href="https://github.com/bastibe/python-soundfile">python-soundfile</a></b> (🥈29 ·  ⭐ 500) - SoundFile is an audio library based on libsndfile, CFFI, and.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/bastibe/python-soundfile) (👨‍💻 28 · 🔀 80 · 📥 6.6K · 📦 15K · 📋 190 - 41% open · ⏱️ 27.09.2022):

	```
	git clone https://github.com/bastibe/python-soundfile
	```
- [PyPi](https://pypi.org/project/soundfile) (📥 1.2M / month · ⏱️ 27.09.2022):
	```
	pip install soundfile
	```
- [Conda](https://anaconda.org/anaconda/pysoundfile):
	```
	conda install -c anaconda pysoundfile
	```
</details>
<details><summary><b><a href="https://github.com/coqui-ai/TTS">Coqui TTS</a></b> (🥈28 ·  ⭐ 7K) - - a deep learning toolkit for Text-to-Speech, battle-.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/coqui-ai/TTS) (👨‍💻 110 · 🔀 760 · 📥 330K · 📋 450 - 4% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/coqui-ai/TTS
	```
- [PyPi](https://pypi.org/project/tts) (📥 6.4K / month · 📦 5 · ⏱️ 21.06.2022):
	```
	pip install tts
	```
- [Conda](https://anaconda.org/conda-forge/tts) (📥 5.2K · ⏱️ 15.12.2021):
	```
	conda install -c conda-forge tts
	```
</details>
<details><summary><b><a href="https://github.com/tyiannak/pyAudioAnalysis">pyAudioAnalysis</a></b> (🥈28 ·  ⭐ 5K) - Python Audio Analysis Library: Feature Extraction,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨‍💻 27 · 🔀 1.1K · 📦 320 · 📋 300 - 59% open · ⏱️ 18.09.2022):

	```
	git clone https://github.com/tyiannak/pyAudioAnalysis
	```
- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 13K / month · 📦 19 · ⏱️ 07.02.2022):
	```
	pip install pyAudioAnalysis
	```
</details>
<details><summary><b><a href="https://github.com/Picovoice/porcupine">Porcupine</a></b> (🥈28 ·  ⭐ 2.8K) - On-device wake word detection powered by deep learning. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/Picovoice/porcupine) (👨‍💻 31 · 🔀 400 · 📦 10 · 📋 400 - 0% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/Picovoice/Porcupine
	```
- [PyPi](https://pypi.org/project/pvporcupine) (📥 1.3K / month · 📦 11 · ⏱️ 28.06.2022):
	```
	pip install pvporcupine
	```
</details>
<details><summary><b><a href="https://github.com/beetbox/audioread">audioread</a></b> (🥈28 ·  ⭐ 410) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/beetbox/audioread) (👨‍💻 23 · 🔀 100 · 📋 84 - 40% open · ⏱️ 12.08.2022):

	```
	git clone https://github.com/beetbox/audioread
	```
- [PyPi](https://pypi.org/project/audioread) (📥 1.5M / month · 📦 330 · ⏱️ 20.10.2020):
	```
	pip install audioread
	```
- [Conda](https://anaconda.org/conda-forge/audioread) (📥 530K · ⏱️ 29.10.2022):
	```
	conda install -c conda-forge audioread
	```
</details>
<details><summary><b><a href="https://github.com/iver56/audiomentations">audiomentations</a></b> (🥉27 ·  ⭐ 1.2K) - A Python library for audio data augmentation. Inspired by.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/iver56/audiomentations) (👨‍💻 23 · 🔀 150 · 📦 180 · 📋 140 - 28% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/iver56/audiomentations
	```
- [PyPi](https://pypi.org/project/audiomentations) (📥 4.5K / month · 📦 1 · ⏱️ 15.06.2022):
	```
	pip install audiomentations
	```
</details>
<details><summary><b><a href="https://github.com/CPJKU/madmom">Madmom</a></b> (🥉26 ·  ⭐ 980 · 💤) - Python audio and music signal processing library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/CPJKU/madmom) (👨‍💻 20 · 🔀 160 · 📦 230 · 📋 260 - 22% open · ⏱️ 06.01.2022):

	```
	git clone https://github.com/CPJKU/madmom
	```
- [PyPi](https://pypi.org/project/madmom) (📥 4.3K / month · 📦 27 · ⏱️ 14.11.2018):
	```
	pip install madmom
	```
</details>
<details><summary><b><a href="https://github.com/devsnd/tinytag">tinytag</a></b> (🥉26 ·  ⭐ 560) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/devsnd/tinytag) (👨‍💻 25 · 🔀 90 · 📦 620 · 📋 96 - 14% open · ⏱️ 04.11.2022):

	```
	git clone https://github.com/devsnd/tinytag
	```
- [PyPi](https://pypi.org/project/tinytag) (📥 19K / month · 📦 70 · ⏱️ 12.03.2022):
	```
	pip install tinytag
	```
</details>
<details><summary><b><a href="https://github.com/magenta/ddsp">DDSP</a></b> (🥉25 ·  ⭐ 2.3K) - DDSP: Differentiable Digital Signal Processing. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/magenta/ddsp) (👨‍💻 31 · 🔀 270 · 📦 31 · 📋 150 - 21% open · ⏱️ 04.10.2022):

	```
	git clone https://github.com/magenta/ddsp
	```
- [PyPi](https://pypi.org/project/ddsp) (📥 3.3K / month · 📦 1 · ⏱️ 25.05.2022):
	```
	pip install ddsp
	```
- [Conda](https://anaconda.org/conda-forge/ddsp) (📥 12K · ⏱️ 08.06.2020):
	```
	conda install -c conda-forge ddsp
	```
</details>
<details><summary><b><a href="https://github.com/mozilla/DeepSpeech">DeepSpeech</a></b> (🥉23 ·  ⭐ 20K) - DeepSpeech is an open source embedded (offline, on-device).. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/mozilla/DeepSpeech) (👨‍💻 140 · 🔀 3.6K):

	```
	git clone https://github.com/mozilla/DeepSpeech
	```
- [PyPi](https://pypi.org/project/deepspeech) (📥 8.4K / month · 📦 40 · ⏱️ 19.12.2020):
	```
	pip install deepspeech
	```
- [Conda](https://anaconda.org/conda-forge/deepspeech) (📥 1.1K · ⏱️ 29.07.2021):
	```
	conda install -c conda-forge deepspeech
	```
</details>
<details><summary><b><a href="https://github.com/keunwoochoi/kapre">kapre</a></b> (🥉22 ·  ⭐ 860) - kapre: Keras Audio Preprocessors. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/keunwoochoi/kapre) (👨‍💻 13 · 🔀 140 · 📥 22 · 📦 1.9K · 📋 95 - 13% open · ⏱️ 04.07.2022):

	```
	git clone https://github.com/keunwoochoi/kapre
	```
- [PyPi](https://pypi.org/project/kapre) (📥 3.6K / month · 📦 14 · ⏱️ 21.01.2022):
	```
	pip install kapre
	```
</details>
<details><summary><b><a href="https://github.com/KinWaiCheuk/nnAudio">nnAudio</a></b> (🥉21 ·  ⭐ 750) - Audio processing by using pytorch 1D convolution network. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨‍💻 13 · 🔀 72 · 📦 67 · 📋 53 - 22% open · ⏱️ 09.10.2022):

	```
	git clone https://github.com/KinWaiCheuk/nnAudio
	```
- [PyPi](https://pypi.org/project/nnAudio) (📥 3.5K / month · 📦 1 · ⏱️ 24.12.2021):
	```
	pip install nnAudio
	```
</details>
<details><summary>Show 9 hidden projects...</summary>

- <b><a href="https://github.com/aubio/aubio">aubio</a></b> (🥈28 ·  ⭐ 2.8K · 💤) - a library for audio and music analysis. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/MTG/essentia">Essentia</a></b> (🥉26 ·  ⭐ 2.2K) - C++ library for audio and music analysis, description and.. <code><a href="http://bit.ly/3pwmjO5">❗️AGPL-3.0</a></code>
- <b><a href="https://github.com/jameslyons/python_speech_features">python_speech_features</a></b> (🥉23 ·  ⭐ 2.2K · 💀) - This library provides common speech features for ASR.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/worldveil/dejavu">Dejavu</a></b> (🥉22 ·  ⭐ 5.9K · 💀) - Audio fingerprinting and recognition in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/mozilla/TTS">TTS</a></b> (🥉21 ·  ⭐ 6.4K · 💀) - Deep learning for Text to Speech (Discussion forum:.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code>
- <b><a href="https://github.com/Parisson/TimeSide">TimeSide</a></b> (🥉21 ·  ⭐ 340) - Scalable audio processing framework written in Python with a.. <code><a href="http://bit.ly/3pwmjO5">❗️AGPL-3.0</a></code>
- <b><a href="https://github.com/adefossez/julius">Julius</a></b> (🥉18 ·  ⭐ 300) - Fast PyTorch based DSP for audio and 1D signals. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/bmcfee/muda">Muda</a></b> (🥉17 ·  ⭐ 210 · 💀) - A library for augmenting annotated audio data. <code><a href="http://bit.ly/3hkKRql">ISC</a></code>
- <b><a href="https://github.com/facebookresearch/textlesslib">textlesslib</a></b> (🥉9 ·  ⭐ 370 · 💤) - Library for Textless Spoken Language Processing. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
</details>
<br>

## Geospatial Data

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding._

<details><summary><b><a href="https://github.com/visgl/deck.gl">pydeck</a></b> (🥇42 ·  ⭐ 10K) - WebGL2 powered visualization framework. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/visgl/deck.gl) (👨‍💻 210 · 🔀 1.9K · 📦 4.8K · 📋 2.5K - 6% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/visgl/deck.gl
	```
- [PyPi](https://pypi.org/project/pydeck) (📥 890K / month · 📦 24 · ⏱️ 25.10.2021):
	```
	pip install pydeck
	```
- [Conda](https://anaconda.org/conda-forge/pydeck) (📥 220K · ⏱️ 04.11.2022):
	```
	conda install -c conda-forge pydeck
	```
- [npm](https://www.npmjs.com/package/deck.gl) (📥 340K / month · 📦 420 · ⏱️ 04.11.2022):
	```
	npm install deck.gl
	```
</details>
<details><summary><b><a href="https://github.com/python-visualization/folium">folium</a></b> (🥇39 ·  ⭐ 6K) - Python Data. Leaflet.js Maps. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/python-visualization/folium) (👨‍💻 140 · 🔀 2.1K · 📦 19K · 📋 990 - 24% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/python-visualization/folium
	```
- [PyPi](https://pypi.org/project/folium) (📥 930K / month · 📦 680 · ⏱️ 19.11.2021):
	```
	pip install folium
	```
- [Conda](https://anaconda.org/conda-forge/folium) (📥 1.3M · ⏱️ 07.10.2022):
	```
	conda install -c conda-forge folium
	```
</details>
<details><summary><b><a href="https://github.com/shapely/shapely">Shapely</a></b> (🥇37 ·  ⭐ 3K) - Manipulation and analysis of geometric objects. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/shapely/shapely) (👨‍💻 140 · 🔀 490 · 📥 320 · 📦 35K · 📋 960 - 18% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/shapely/shapely
	```
- [PyPi](https://pypi.org/project/shapely) (📥 8.3M / month · ⏱️ 03.08.2022):
	```
	pip install shapely
	```
- [Conda](https://anaconda.org/conda-forge/shapely) (📥 4.8M · ⏱️ 29.10.2022):
	```
	conda install -c conda-forge shapely
	```
</details>
<details><summary><b><a href="https://github.com/rasterio/rasterio">Rasterio</a></b> (🥇37 ·  ⭐ 1.8K) - Rasterio reads and writes geospatial raster datasets. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/rasterio/rasterio) (👨‍💻 140 · 🔀 490 · 📥 760 · 📦 5.8K · 📋 1.6K - 10% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/rasterio/rasterio
	```
- [PyPi](https://pypi.org/project/rasterio) (📥 1.5M / month · 📦 800 · ⏱️ 06.07.2022):
	```
	pip install rasterio
	```
- [Conda](https://anaconda.org/conda-forge/rasterio) (📥 1.9M · ⏱️ 07.11.2022):
	```
	conda install -c conda-forge rasterio
	```
</details>
<details><summary><b><a href="https://github.com/pyproj4/pyproj">pyproj</a></b> (🥇37 ·  ⭐ 810) - Python interface to PROJ (cartographic projections and coordinate.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/pyproj4/pyproj) (👨‍💻 54 · 🔀 190 · 📦 16K · 📋 520 - 3% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/pyproj4/pyproj
	```
- [PyPi](https://pypi.org/project/pyproj) (📥 5.3M / month · 📦 1.7K · ⏱️ 22.04.2022):
	```
	pip install pyproj
	```
- [Conda](https://anaconda.org/conda-forge/pyproj) (📥 4.6M · ⏱️ 28.10.2022):
	```
	conda install -c conda-forge pyproj
	```
</details>
<details><summary><b><a href="https://github.com/geopandas/geopandas">GeoPandas</a></b> (🥈36 ·  ⭐ 3.4K · 📉) - Python tools for geographic data. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/geopandas/geopandas) (👨‍💻 180 · 🔀 760 · 📥 1.7K · 📋 1.4K - 31% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/geopandas/geopandas
	```
- [PyPi](https://pypi.org/project/geopandas) (📥 3.1M / month · 📦 1.2K · ⏱️ 21.06.2022):
	```
	pip install geopandas
	```
- [Conda](https://anaconda.org/conda-forge/geopandas) (📥 2.2M · ⏱️ 04.11.2022):
	```
	conda install -c conda-forge geopandas
	```
</details>
<details><summary><b><a href="https://github.com/geopy/geopy">geopy</a></b> (🥈34 ·  ⭐ 3.8K) - Geocoding library for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/geopy/geopy) (👨‍💻 130 · 🔀 600 · 📦 44K · 📋 270 - 10% open · ⏱️ 07.08.2022):

	```
	git clone https://github.com/geopy/geopy
	```
- [PyPi](https://pypi.org/project/geopy) (📥 4.5M / month · 📦 3.9K · ⏱️ 11.07.2021):
	```
	pip install geopy
	```
- [Conda](https://anaconda.org/conda-forge/geopy) (📥 860K · ⏱️ 12.07.2021):
	```
	conda install -c conda-forge geopy
	```
</details>
<details><summary><b><a href="https://github.com/Toblerity/Fiona">Fiona</a></b> (🥈34 ·  ⭐ 970 · 💤) - Fiona reads and writes geographic data files. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/Toblerity/Fiona) (👨‍💻 66 · 🔀 190 · 📦 10K · 📋 710 - 12% open · ⏱️ 01.03.2022):

	```
	git clone https://github.com/Toblerity/Fiona
	```
- [PyPi](https://pypi.org/project/fiona) (📥 3.2M / month · 📦 790 · ⏱️ 10.06.2022):
	```
	pip install fiona
	```
- [Conda](https://anaconda.org/conda-forge/fiona) (📥 3.6M · ⏱️ 04.11.2022):
	```
	conda install -c conda-forge fiona
	```
</details>
<details><summary><b><a href="https://github.com/jupyter-widgets/ipyleaflet">ipyleaflet</a></b> (🥈33 ·  ⭐ 1.3K) - A Jupyter - Leaflet.js bridge. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨‍💻 81 · 🔀 350 · 📦 3.1K · 📋 540 - 39% open · ⏱️ 27.10.2022):

	```
	git clone https://github.com/jupyter-widgets/ipyleaflet
	```
- [PyPi](https://pypi.org/project/ipyleaflet) (📥 160K / month · 📦 110 · ⏱️ 07.07.2022):
	```
	pip install ipyleaflet
	```
- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (📥 910K · ⏱️ 19.10.2022):
	```
	conda install -c conda-forge ipyleaflet
	```
- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 57K / month · 📦 3 · ⏱️ 19.10.2022):
	```
	npm install jupyter-leaflet
	```
</details>
<details><summary><b><a href="https://github.com/Esri/arcgis-python-api">ArcGIS API</a></b> (🥉30 ·  ⭐ 1.4K) - Documentation and samples for ArcGIS API for Python. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/Esri/arcgis-python-api) (👨‍💻 81 · 🔀 940 · 📥 6.2K · 📋 530 - 10% open · ⏱️ 04.11.2022):

	```
	git clone https://github.com/Esri/arcgis-python-api
	```
- [PyPi](https://pypi.org/project/arcgis) (📥 66K / month · 📦 26 · ⏱️ 02.06.2022):
	```
	pip install arcgis
	```
- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (📥 7.4K · ⭐ 37 · ⏱️ 17.06.2022):
	```
	docker pull esridocker/arcgis-api-python-notebook
	```
</details>
<details><summary><b><a href="https://github.com/jazzband/geojson">geojson</a></b> (🥉29 ·  ⭐ 750) - Python bindings and utilities for GeoJSON. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/jazzband/geojson) (👨‍💻 48 · 🔀 99 · 📦 10K · 📋 88 - 27% open · ⏱️ 07.05.2022):

	```
	git clone https://github.com/jazzband/geojson
	```
- [PyPi](https://pypi.org/project/geojson) (📥 880K / month · 📦 1.1K · ⏱️ 09.08.2019):
	```
	pip install geojson
	```
- [Conda](https://anaconda.org/conda-forge/geojson) (📥 610K · ⏱️ 11.08.2019):
	```
	conda install -c conda-forge geojson
	```
</details>
<details><summary><b><a href="https://github.com/pysal/pysal">PySAL</a></b> (🥉26 ·  ⭐ 1.1K) - PySAL: Python Spatial Analysis Library Meta-Package. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/pysal/pysal) (👨‍💻 77 · 🔀 270 · 📋 610 - 1% open · ⏱️ 23.07.2022):

	```
	git clone https://github.com/pysal/pysal
	```
- [PyPi](https://pypi.org/project/pysal) (📥 21K / month · 📦 32 · ⏱️ 30.01.2022):
	```
	pip install pysal
	```
- [Conda](https://anaconda.org/conda-forge/pysal) (📥 460K · ⏱️ 01.08.2022):
	```
	conda install -c conda-forge pysal
	```
</details>
<details><summary><b><a href="https://github.com/holoviz/geoviews">GeoViews</a></b> (🥉26 ·  ⭐ 440) - Simple, concise geographical visualization in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/holoviz/geoviews) (👨‍💻 28 · 🔀 68 · 📦 500 · 📋 310 - 35% open · ⏱️ 16.10.2022):

	```
	git clone https://github.com/holoviz/geoviews
	```
- [PyPi](https://pypi.org/project/geoviews) (📥 6.6K / month · 📦 28 · ⏱️ 08.03.2022):
	```
	pip install geoviews
	```
- [Conda](https://anaconda.org/conda-forge/geoviews) (📥 130K · ⏱️ 08.03.2022):
	```
	conda install -c conda-forge geoviews
	```
</details>
<details><summary><b><a href="https://github.com/earthlab/earthpy">EarthPy</a></b> (🥉25 ·  ⭐ 400 · 💤) - A package built to support working with spatial data using open.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/earthlab/earthpy) (👨‍💻 41 · 🔀 140 · 📦 170 · 📋 230 - 8% open · ⏱️ 20.12.2021):

	```
	git clone https://github.com/earthlab/earthpy
	```
- [PyPi](https://pypi.org/project/earthpy) (📥 6.7K / month · 📦 7 · ⏱️ 01.10.2021):
	```
	pip install earthpy
	```
- [Conda](https://anaconda.org/conda-forge/earthpy) (📥 54K · ⏱️ 04.10.2021):
	```
	conda install -c conda-forge earthpy
	```
</details>
<details><summary>Show 8 hidden projects...</summary>

- <b><a href="https://github.com/DenisCarriere/geocoder">Geocoder</a></b> (🥉32 ·  ⭐ 1.5K · 💀) - Python Geocoder. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/pytroll/satpy">Satpy</a></b> (🥉30 ·  ⭐ 870) - Python package for earth-observing satellite data processing. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/sentinelsat/sentinelsat">Sentinelsat</a></b> (🥉26 ·  ⭐ 830) - Search and download Copernicus Sentinel satellite images. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/geospace-code/pymap3d">pymap3d</a></b> (🥉24 ·  ⭐ 290) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code>
- <b><a href="https://github.com/marceloprates/prettymaps">prettymaps</a></b> (🥉23 ·  ⭐ 8.9K · 📈) - A small set of Python functions to draw pretty maps from.. <code><a href="http://bit.ly/3pwmjO5">❗️AGPL-3.0</a></code>
- <b><a href="https://github.com/pbugnion/gmaps">gmaps</a></b> (🥉23 ·  ⭐ 740 · 💀) - Google maps for Jupyter notebooks. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/mapbox/mapboxgl-jupyter">Mapbox GL</a></b> (🥉23 ·  ⭐ 620 · 💀) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/andrea-cuttone/geoplotlib">geoplotlib</a></b> (🥉21 ·  ⭐ 980 · 💀) - python toolbox for visualizing geographical data and making maps. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
</details>
<br>

## Financial Data

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._

<details><summary><b><a href="https://github.com/ranaroussi/yfinance">yfinance</a></b> (🥇37 ·  ⭐ 7.9K) - Download market data from Yahoo! Finances API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/ranaroussi/yfinance) (👨‍💻 62 · 🔀 1.7K · 📦 15K · 📋 870 - 50% open · ⏱️ 26.10.2022):

	```
	git clone https://github.com/ranaroussi/yfinance
	```
- [PyPi](https://pypi.org/project/yfinance) (📥 570K / month · 📦 140 · ⏱️ 16.06.2022):
	```
	pip install yfinance
	```
- [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 60K · ⏱️ 10.07.2021):
	```
	conda install -c ranaroussi yfinance
	```
</details>
<details><summary><b><a href="https://github.com/microsoft/qlib">Qlib</a></b> (🥇31 ·  ⭐ 9.9K) - Qlib is an AI-oriented quantitative investment platform, which aims to.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/microsoft/qlib) (👨‍💻 110 · 🔀 1.8K · 📥 330 · 📦 28 · 📋 690 - 32% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/microsoft/qlib
	```
- [PyPi](https://pypi.org/project/pyqlib) (📥 2.5K / month · ⏱️ 15.06.2022):
	```
	pip install pyqlib
	```
</details>
<details><summary><b><a href="https://github.com/bukosabino/ta">ta</a></b> (🥈29 ·  ⭐ 3.3K) - Technical Analysis Library using Pandas and Numpy. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/bukosabino/ta) (👨‍💻 29 · 🔀 740 · 📦 1.5K · 📋 220 - 54% open · ⏱️ 23.08.2022):

	```
	git clone https://github.com/bukosabino/ta
	```
- [PyPi](https://pypi.org/project/ta) (📥 84K / month · 📦 34 · ⏱️ 16.04.2022):
	```
	pip install ta
	```
- [Conda](https://anaconda.org/conda-forge/ta) (📥 8.6K · ⏱️ 23.08.2022):
	```
	conda install -c conda-forge ta
	```
</details>
<details><summary><b><a href="https://github.com/erdewit/ib_insync">IB-insync</a></b> (🥈29 ·  ⭐ 2K) - Python sync/async framework for Interactive Brokers API. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>

- [GitHub](https://github.com/erdewit/ib_insync) (👨‍💻 32 · 🔀 510 · 📋 440 - 2% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/erdewit/ib_insync
	```
- [PyPi](https://pypi.org/project/ib_insync) (📥 9.4K / month · 📦 22 · ⏱️ 28.11.2021):
	```
	pip install ib_insync
	```
- [Conda](https://anaconda.org/conda-forge/ib-insync) (📥 23K · ⏱️ 05.09.2022):
	```
	conda install -c conda-forge ib-insync
	```
</details>
<details><summary><b><a href="https://github.com/pmorissette/ffn">ffn</a></b> (🥈27 ·  ⭐ 1.3K) - ffn - a financial function library for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/pmorissette/ffn) (👨‍💻 28 · 🔀 220 · 📦 240 · 📋 100 - 19% open · ⏱️ 01.07.2022):

	```
	git clone https://github.com/pmorissette/ffn
	```
- [PyPi](https://pypi.org/project/ffn) (📥 140K / month · 📦 25 · ⏱️ 21.04.2021):
	```
	pip install ffn
	```
- [Conda](https://anaconda.org/conda-forge/ffn) (📥 1.9K · ⏱️ 22.04.2021):
	```
	conda install -c conda-forge ffn
	```
</details>
<details><summary><b><a href="https://github.com/tensortrade-org/tensortrade">TensorTrade</a></b> (🥉25 ·  ⭐ 4K) - An open source reinforcement learning framework for training,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/tensortrade-org/tensortrade) (👨‍💻 61 · 🔀 930 · 📦 36 · 📋 240 - 17% open · ⏱️ 23.08.2022):

	```
	git clone https://github.com/tensortrade-org/tensortrade
	```
- [PyPi](https://pypi.org/project/tensortrade) (📥 310 / month · 📦 1 · ⏱️ 10.05.2021):
	```
	pip install tensortrade
	```
- [Conda](https://anaconda.org/conda-forge/tensortrade) (📥 1.9K · ⏱️ 10.05.2021):
	```
	conda install -c conda-forge tensortrade
	```
</details>
<details><summary><b><a href="https://github.com/pmorissette/bt">bt</a></b> (🥉24 ·  ⭐ 1.5K) - bt - flexible backtesting for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/pmorissette/bt) (👨‍💻 27 · 🔀 320 · 📦 150 · 📋 300 - 21% open · ⏱️ 24.08.2022):

	```
	git clone https://github.com/pmorissette/bt
	```
- [PyPi](https://pypi.org/project/bt) (📥 5.5K / month · 📦 21 · ⏱️ 21.04.2021):
	```
	pip install bt
	```
- [Conda](https://anaconda.org/conda-forge/bt) (📥 8.8K · ⏱️ 24.06.2022):
	```
	conda install -c conda-forge bt
	```
</details>
<details><summary><b><a href="https://github.com/jealous/stockstats">stockstats</a></b> (🥉23 ·  ⭐ 1.1K · 💤) - Supply a wrapper ``StockDataFrame`` based on the.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/jealous/stockstats) (👨‍💻 8 · 🔀 270 · 📦 560 · 📋 90 - 13% open · ⏱️ 07.01.2022):

	```
	git clone https://github.com/jealous/stockstats
	```
- [PyPi](https://pypi.org/project/stockstats) (📥 7K / month · 📦 29 · ⏱️ 07.01.2022):
	```
	pip install stockstats
	```
</details>
<details><summary><b><a href="https://github.com/CryptoSignal/Crypto-Signal">Crypto Signals</a></b> (🥉22 ·  ⭐ 4.2K) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (👨‍💻 28 · 🔀 1.2K · 📋 260 - 22% open · ⏱️ 09.08.2022):

	```
	git clone https://github.com/CryptoSignal/crypto-signal
	```
- [Docker Hub](https://hub.docker.com/r/shadowreaver/crypto-signal) (📥 140K · ⭐ 8 · ⏱️ 03.09.2020):
	```
	docker pull shadowreaver/crypto-signal
	```
</details>
<details><summary><b><a href="https://github.com/google/tf-quant-finance">tf-quant-finance</a></b> (🥉22 ·  ⭐ 3.4K) - High-performance TensorFlow library for quantitative.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/google/tf-quant-finance) (👨‍💻 43 · 🔀 460 · 📋 49 - 48% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/google/tf-quant-finance
	```
- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 1K / month · 📦 2 · ⏱️ 31.05.2022):
	```
	pip install tf-quant-finance
	```
</details>
<details><summary><b><a href="https://github.com/cuemacro/finmarketpy">finmarketpy</a></b> (🥉19 ·  ⭐ 3K · 💤) - Python library for backtesting trading strategies & analyzing.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/cuemacro/finmarketpy) (👨‍💻 14 · 🔀 450 · 📥 40 · 📦 5 · 📋 26 - 88% open · ⏱️ 05.04.2022):

	```
	git clone https://github.com/cuemacro/finmarketpy
	```
- [PyPi](https://pypi.org/project/finmarketpy) (📥 87 / month · ⏱️ 07.10.2021):
	```
	pip install finmarketpy
	```
</details>
<details><summary>Show 14 hidden projects...</summary>

- <b><a href="https://github.com/quantopian/zipline">zipline</a></b> (🥇33 ·  ⭐ 16K · 💀) - Zipline, a Pythonic Algorithmic Trading Library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/quantopian/pyfolio">pyfolio</a></b> (🥈30 ·  ⭐ 4.7K · 💀) - Portfolio and risk analytics in Python. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/mementum/backtrader">backtrader</a></b> (🥈29 ·  ⭐ 9.5K · 💀) - Python Backtesting library for trading strategies. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/bashtage/arch">arch</a></b> (🥈29 ·  ⭐ 1K) - ARCH models in Python. <code><a href="https://tldrlegal.com/search?q=NCSA">❗️NCSA</a></code>
- <b><a href="https://github.com/RomelTorres/alpha_vantage">Alpha Vantage</a></b> (🥈27 ·  ⭐ 3.8K · 💀) - A python wrapper for Alpha Vantage API for financial data. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/quantopian/alphalens">Alphalens</a></b> (🥈27 ·  ⭐ 2.5K · 💀) - Performance analysis of predictive (alpha) stock factors. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/scrtlabs/catalyst">Enigma Catalyst</a></b> (🥉26 ·  ⭐ 2.4K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/quantopian/empyrical">empyrical</a></b> (🥉26 ·  ⭐ 990 · 💀) - Common financial risk and performance metrics. Used by zipline.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/gbeced/pyalgotrade">PyAlgoTrade</a></b> (🥉24 ·  ⭐ 3.8K · 💀) - Python Algorithmic Trading Library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/peerchemist/finta">FinTA</a></b> (🥉21 ·  ⭐ 1.8K) - Common financial technical indicators implemented in Pandas. <code><a href="http://bit.ly/37RvQcA">❗️LGPL-3.0</a></code>
- <b><a href="https://github.com/kernc/backtesting.py">Backtesting.py</a></b> (🥉20 ·  ⭐ 3K · 💤) - Backtest trading strategies in Python. <code><a href="http://bit.ly/3pwmjO5">❗️AGPL-3.0</a></code>
- <b><a href="https://github.com/fmilthaler/FinQuant">FinQuant</a></b> (🥉19 ·  ⭐ 860 · 💀) - A program for financial portfolio management, analysis and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/tradytics/surpriver">surpriver</a></b> (🥉12 ·  ⭐ 1.5K · 💀) - Find big moving stocks before they move using machine.. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/alvarobartt/pyrtfolio">pyrtfolio</a></b> (🥉7 ·  ⭐ 120 · 💀) - Python package to generate stock portfolios. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
</details>
<br>

## Time Series Data

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._

<details><summary><b><a href="https://github.com/facebook/prophet">Prophet</a></b> (🥇36 ·  ⭐ 15K) - Tool for producing high quality forecasts for time series data that has.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/facebook/prophet) (👨‍💻 160 · 🔀 4.3K · 📥 1K · 📋 1.9K - 14% open · ⏱️ 21.09.2022):

	```
	git clone https://github.com/facebook/prophet
	```
- [PyPi](https://pypi.org/project/fbprophet) (📥 1.5M / month · 📦 130 · ⏱️ 05.09.2020):
	```
	pip install fbprophet
	```
- [Conda](https://anaconda.org/conda-forge/prophet) (📥 180K · ⏱️ 10.09.2022):
	```
	conda install -c conda-forge prophet
	```
</details>
<details><summary><b><a href="https://github.com/sktime/sktime">sktime</a></b> (🥇35 ·  ⭐ 5.8K) - A unified framework for machine learning with time series. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/sktime/sktime) (👨‍💻 200 · 🔀 950 · 📥 76 · 📦 670 · 📋 1.4K - 33% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/alan-turing-institute/sktime
	```
- [PyPi](https://pypi.org/project/sktime) (📥 410K / month · 📦 26 · ⏱️ 29.06.2022):
	```
	pip install sktime
	```
- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 59K · ⏱️ 05.10.2022):
	```
	conda install -c conda-forge sktime-all-extras
	```
</details>
<details><summary><b><a href="https://github.com/ourownstory/neural_prophet">NeuralProphet</a></b> (🥇33 ·  ⭐ 2.6K) - NeuralProphet: A simple forecasting package. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/ourownstory/neural_prophet) (👨‍💻 31 · 🔀 350 · 📦 140 · 📋 360 - 28% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/ourownstory/neural_prophet
	```
- [PyPi](https://pypi.org/project/neuralprophet) (📥 96K / month · ⏱️ 22.03.2022):
	```
	pip install neuralprophet
	```
</details>
<details><summary><b><a href="https://github.com/alkaline-ml/pmdarima">pmdarima</a></b> (🥈32 ·  ⭐ 1.3K) - A statistical library designed to fill the void in Pythons time series.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/alkaline-ml/pmdarima) (👨‍💻 22 · 🔀 220 · 📦 2.8K · 📋 300 - 10% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/alkaline-ml/pmdarima
	```
- [PyPi](https://pypi.org/project/pmdarima) (📥 1.6M / month · 📦 57 · ⏱️ 22.02.2022):
	```
	pip install pmdarima
	```
- [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 110K · ⏱️ 24.08.2022):
	```
	conda install -c conda-forge pmdarima
	```
</details>
<details><summary><b><a href="https://github.com/TDAmeritrade/stumpy">STUMPY</a></b> (🥈31 ·  ⭐ 2.4K) - STUMPY is a powerful and scalable Python library for modern time series.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/TDAmeritrade/stumpy) (👨‍💻 31 · 🔀 230 · 📦 290 · 📋 360 - 13% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/TDAmeritrade/stumpy
	```
- [PyPi](https://pypi.org/project/stumpy) (📥 180K / month · 📦 4 · ⏱️ 31.03.2022):
	```
	pip install stumpy
	```
- [Conda](https://anaconda.org/conda-forge/stumpy) (📥 96K · ⏱️ 31.03.2022):
	```
	conda install -c conda-forge stumpy
	```
</details>
<details><summary><b><a href="https://github.com/unit8co/darts">Darts</a></b> (🥈30 ·  ⭐ 5K) - A python library for easy manipulation and forecasting of time series. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/unit8co/darts) (👨‍💻 69 · 🔀 530 · 📦 120 · 📋 740 - 28% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/unit8co/darts
	```
- [PyPi](https://pypi.org/project/u8darts) (📥 8K / month · 📦 3 · ⏱️ 22.06.2022):
	```
	pip install u8darts
	```
- [Conda](https://anaconda.org/conda-forge/u8darts-all) (📥 17K · ⏱️ 05.10.2022):
	```
	conda install -c conda-forge u8darts-all
	```
- [Docker Hub](https://hub.docker.com/r/unit8/darts) (📥 360 · ⏱️ 04.10.2022):
	```
	docker pull unit8/darts
	```
</details>
<details><summary><b><a href="https://github.com/jdb78/pytorch-forecasting">pytorch-forecasting</a></b> (🥈30 ·  ⭐ 2.4K) - Time series forecasting with PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/jdb78/pytorch-forecasting) (👨‍💻 33 · 🔀 380 · 📋 540 - 52% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/jdb78/pytorch-forecasting
	```
- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 110K / month · 📦 4 · ⏱️ 23.05.2022):
	```
	pip install pytorch-forecasting
	```
- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 31K · ⏱️ 23.05.2022):
	```
	conda install -c conda-forge pytorch-forecasting
	```
</details>
<details><summary><b><a href="https://github.com/tslearn-team/tslearn">tslearn</a></b> (🥈30 ·  ⭐ 2.3K) - A machine learning toolkit dedicated to time-series data. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tslearn-team/tslearn) (👨‍💻 40 · 🔀 300 · 📦 610 · 📋 290 - 35% open · ⏱️ 27.10.2022):

	```
	git clone https://github.com/tslearn-team/tslearn
	```
- [PyPi](https://pypi.org/project/tslearn) (📥 150K / month · 📦 19 · ⏱️ 16.08.2021):
	```
	pip install tslearn
	```
- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 370K · ⏱️ 15.01.2022):
	```
	conda install -c conda-forge tslearn
	```
</details>
<details><summary><b><a href="https://github.com/blue-yonder/tsfresh">tsfresh</a></b> (🥈29 ·  ⭐ 6.8K · 💤) - Automatic extraction of relevant features from time series:. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/blue-yonder/tsfresh) (👨‍💻 82 · 🔀 1.1K · 📋 500 - 12% open · ⏱️ 21.12.2021):

	```
	git clone https://github.com/blue-yonder/tsfresh
	```
- [PyPi](https://pypi.org/project/tsfresh) (📥 340K / month · 📦 60 · ⏱️ 21.12.2021):
	```
	pip install tsfresh
	```
- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 330K · ⏱️ 21.12.2021):
	```
	conda install -c conda-forge tsfresh
	```
</details>
<details><summary><b><a href="https://github.com/awslabs/gluonts">GluonTS</a></b> (🥈29 ·  ⭐ 3.1K) - Probabilistic time series modeling in Python. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/awslabs/gluonts) (👨‍💻 96 · 🔀 630 · 📋 770 - 31% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/awslabs/gluon-ts
	```
- [PyPi](https://pypi.org/project/gluonts) (📥 190K / month · 📦 7 · ⏱️ 30.06.2022):
	```
	pip install gluonts
	```
- [Conda](https://anaconda.org/anaconda/gluonts) (📥 180 · ⏱️ 14.10.2021):
	```
	conda install -c anaconda gluonts
	```
</details>
<details><summary><b><a href="https://github.com/Nixtla/statsforecast">StatsForecast</a></b> (🥈28 ·  ⭐ 1.6K) - Lightning fast forecasting with statistical and econometric.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/Nixtla/statsforecast) (👨‍💻 13 · 🔀 96 · 📦 88 · 📋 120 - 42% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/Nixtla/statsforecast
	```
- [PyPi](https://pypi.org/project/statsforecast) (📥 180K / month · 📦 5 · ⏱️ 27.06.2022):
	```
	pip install statsforecast
	```
- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 18K · ⏱️ 05.11.2022):
	```
	conda install -c conda-forge statsforecast
	```
</details>
<details><summary><b><a href="https://github.com/python-streamz/streamz">Streamz</a></b> (🥉27 ·  ⭐ 1.1K) - Real-time stream processing for python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/python-streamz/streamz) (👨‍💻 45 · 🔀 140 · 📦 340 · 📋 250 - 41% open · ⏱️ 27.07.2022):

	```
	git clone https://github.com/python-streamz/streamz
	```
- [PyPi](https://pypi.org/project/streamz) (📥 13K / month · 📦 35 · ⏱️ 04.10.2021):
	```
	pip install streamz
	```
- [Conda](https://anaconda.org/conda-forge/streamz) (📥 440K · ⏱️ 28.07.2022):
	```
	conda install -c conda-forge streamz
	```
</details>
<details><summary><b><a href="https://github.com/uber/orbit">uber/orbit</a></b> (🥉25 ·  ⭐ 1.5K) - A Python package for Bayesian forecasting with object-oriented.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/uber/orbit) (👨‍💻 18 · 🔀 110 · 📦 11 · 📋 380 - 15% open · ⏱️ 14.09.2022):

	```
	git clone https://github.com/uber/orbit
	```
- [PyPi](https://pypi.org/project/orbit-ml) (📥 170K / month · 📦 1 · ⏱️ 28.04.2022):
	```
	pip install orbit-ml
	```
- [Conda](https://anaconda.org/conda-forge/orbit-ml) (📥 1.9K · ⏱️ 08.03.2022):
	```
	conda install -c conda-forge orbit-ml
	```
</details>
<details><summary><b><a href="https://github.com/johannfaouzi/pyts">pyts</a></b> (🥉25 ·  ⭐ 1.4K) - A Python package for time series classification. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/johannfaouzi/pyts) (👨‍💻 11 · 🔀 140 · 📦 270 · 📋 68 - 55% open · ⏱️ 16.06.2022):

	```
	git clone https://github.com/johannfaouzi/pyts
	```
- [PyPi](https://pypi.org/project/pyts) (📥 100K / month · 📦 11 · ⏱️ 31.10.2021):
	```
	pip install pyts
	```
- [Conda](https://anaconda.org/conda-forge/pyts) (📥 15K · ⏱️ 31.10.2021):
	```
	conda install -c conda-forge pyts
	```
</details>
<details><summary><b><a href="https://github.com/Nixtla/neuralforecast">NeuralForecast</a></b> (🥉23 ·  ⭐ 940) - Scalable and user friendly neural forecasting algorithms for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/Nixtla/neuralforecast) (👨‍💻 22 · 🔀 87 · 📦 5 · 📋 120 - 15% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/Nixtla/neuralforecast
	```
- [PyPi](https://pypi.org/project/neuralforecast) (📥 4.6K / month · ⏱️ 02.06.2022):
	```
	pip install neuralforecast
	```
- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 3K · ⏱️ 09.11.2022):
	```
	conda install -c conda-forge neuralforecast
	```
</details>
<details><summary><b><a href="https://github.com/fraunhoferportugal/tsfel">TSFEL</a></b> (🥉22 ·  ⭐ 570 · 💤) - An intuitive library to extract features from time series. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨‍💻 14 · 🔀 100 · 📦 43 · 📋 62 - 29% open · ⏱️ 16.03.2022):

	```
	git clone https://github.com/fraunhoferportugal/tsfel
	```
- [PyPi](https://pypi.org/project/tsfel) (📥 8.9K / month · ⏱️ 14.02.2021):
	```
	pip install tsfel
	```
</details>
<details><summary><b><a href="https://github.com/dmbee/seglearn">seglearn</a></b> (🥉22 ·  ⭐ 530) - Python module for machine learning time series:. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/dmbee/seglearn) (👨‍💻 14 · 🔀 62 · 📦 15 · 📋 29 - 20% open · ⏱️ 27.08.2022):

	```
	git clone https://github.com/dmbee/seglearn
	```
- [PyPi](https://pypi.org/project/seglearn) (📥 3.7K / month · 📦 1 · ⏱️ 13.03.2021):
	```
	pip install seglearn
	```
</details>
<details><summary><b><a href="https://github.com/linkedin/greykite">greykite</a></b> (🥉21 ·  ⭐ 1.6K) - A flexible, intuitive and fast forecasting library. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>

- [GitHub](https://github.com/linkedin/greykite) (👨‍💻 8 · 🔀 82 · 📦 12 · 📋 79 - 20% open · ⏱️ 31.08.2022):

	```
	git clone https://github.com/linkedin/greykite
	```
- [PyPi](https://pypi.org/project/greykite) (📥 25K / month · ⏱️ 15.12.2021):
	```
	pip install greykite
	```
</details>
<details><summary><b><a href="https://github.com/AutoViML/Auto_TS">Auto TS</a></b> (🥉18 ·  ⭐ 500) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/AutoViML/Auto_TS) (👨‍💻 6 · 🔀 91 · 📋 78 - 10% open · ⏱️ 16.08.2022):

	```
	git clone https://github.com/AutoViML/Auto_TS
	```
- [PyPi](https://pypi.org/project/auto-ts) (📥 6.3K / month · ⏱️ 31.01.2022):
	```
	pip install auto-ts
	```
</details>
<details><summary><b><a href="https://github.com/firmai/atspy">atspy</a></b> (🥉14 ·  ⭐ 460 · 💤) - AtsPy: Automated Time Series Models in Python (by @firmai). <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/firmai/atspy) (👨‍💻 5 · 🔀 87 · 📦 8 · 📋 22 - 90% open · ⏱️ 18.12.2021):

	```
	git clone https://github.com/firmai/atspy
	```
- [PyPi](https://pypi.org/project/atspy) (📥 400 / month · ⏱️ 24.04.2020):
	```
	pip install atspy
	```
</details>
<details><summary>Show 8 hidden projects...</summary>

- <b><a href="https://github.com/RJT1990/pyflux">PyFlux</a></b> (🥉24 ·  ⭐ 2K · 💀) - Open source time series library for Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/linkedin/luminol">luminol</a></b> (🥉21 ·  ⭐ 1.1K · 💀) - Anomaly Detection and Correlation library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/wwrechard/pydlm">pydlm</a></b> (🥉20 ·  ⭐ 430 · 💀) - A python library for Bayesian time series modeling. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/X-DataInitiative/tick">tick</a></b> (🥉20 ·  ⭐ 400 · 💀) - Module for statistical learning, with a particular emphasis on time-.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/arundo/adtk">ADTK</a></b> (🥉19 ·  ⭐ 880 · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code>
- <b><a href="https://github.com/target/matrixprofile-ts">matrixprofile-ts</a></b> (🥉19 ·  ⭐ 690 · 💀) - A Python library for detecting patterns and anomalies.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/predict-idlab/tsflex">tsflex</a></b> (🥉18 ·  ⭐ 190) - Flexible time series feature extraction & processing. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/arundo/tsaug">tsaug</a></b> (🥉13 ·  ⭐ 260 · 💀) - A Python package for time series augmentation. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
</details>
<br>

## Medical Data

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._

<details><summary><b><a href="https://github.com/mne-tools/mne-python">MNE</a></b> (🥇37 ·  ⭐ 2.1K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/mne-tools/mne-python) (👨‍💻 320 · 🔀 1.1K · 📦 1.9K · 📋 4.3K - 10% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/mne-tools/mne-python
	```
- [PyPi](https://pypi.org/project/mne) (📥 43K / month · 📦 220 · ⏱️ 12.05.2022):
	```
	pip install mne
	```
- [Conda](https://anaconda.org/conda-forge/mne) (📥 240K · ⏱️ 20.10.2022):
	```
	conda install -c conda-forge mne
	```
</details>
<details><summary><b><a href="https://github.com/nipy/nipype">NIPYPE</a></b> (🥇35 ·  ⭐ 650) - Workflows and interfaces for neuroimaging packages. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/nipy/nipype) (👨‍💻 240 · 🔀 510 · 📦 1.1K · 📋 1.3K - 29% open · ⏱️ 17.10.2022):

	```
	git clone https://github.com/nipy/nipype
	```
- [PyPi](https://pypi.org/project/nipype) (📥 59K / month · 📦 160 · ⏱️ 06.06.2022):
	```
	pip install nipype
	```
- [Conda](https://anaconda.org/conda-forge/nipype) (📥 520K · ⏱️ 06.11.2022):
	```
	conda install -c conda-forge nipype
	```
</details>
<details><summary><b><a href="https://github.com/Project-MONAI/MONAI">MONAI</a></b> (🥈34 ·  ⭐ 3.5K) - AI Toolkit for Healthcare Imaging. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/Project-MONAI/MONAI) (👨‍💻 120 · 🔀 680 · 📦 560 · 📋 2.1K - 12% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/Project-MONAI/MONAI
	```
- [PyPi](https://pypi.org/project/monai) (📥 49K / month · 📦 20 · ⏱️ 13.06.2022):
	```
	pip install monai
	```
- [Conda](https://anaconda.org/conda-forge/monai) (📥 6.2K · ⏱️ 24.10.2022):
	```
	conda install -c conda-forge monai
	```
</details>
<details><summary><b><a href="https://github.com/CamDavidsonPilon/lifelines">Lifelines</a></b> (🥈34 ·  ⭐ 2K) - Survival analysis in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨‍💻 100 · 🔀 500 · 📦 1.1K · 📋 890 - 26% open · ⏱️ 06.11.2022):

	```
	git clone https://github.com/CamDavidsonPilon/lifelines
	```
- [PyPi](https://pypi.org/project/lifelines) (📥 440K / month · 📦 110 · ⏱️ 26.06.2022):
	```
	pip install lifelines
	```
- [Conda](https://anaconda.org/conda-forge/lifelines) (📥 220K · ⏱️ 18.05.2022):
	```
	conda install -c conda-forge lifelines
	```
</details>
<details><summary><b><a href="https://github.com/nilearn/nilearn">Nilearn</a></b> (🥈34 ·  ⭐ 900) - Machine learning for NeuroImaging in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/nilearn/nilearn) (👨‍💻 200 · 🔀 470 · 📥 72 · 📦 1.8K · 📋 1.7K - 16% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/nilearn/nilearn
	```
- [PyPi](https://pypi.org/project/nilearn) (📥 31K / month · 📦 240 · ⏱️ 13.04.2022):
	```
	pip install nilearn
	```
- [Conda](https://anaconda.org/conda-forge/nilearn) (📥 200K · ⏱️ 24.08.2022):
	```
	conda install -c conda-forge nilearn
	```
</details>
<details><summary><b><a href="https://github.com/hail-is/hail">Hail</a></b> (🥈34 ·  ⭐ 840) - Scalable genomic data analysis. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/hail-is/hail) (👨‍💻 82 · 🔀 220 · 📦 84 · 📋 2.1K - 2% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/hail-is/hail
	```
- [PyPi](https://pypi.org/project/hail) (📥 78K / month · 📦 12 · ⏱️ 07.07.2022):
	```
	pip install hail
	```
</details>
<details><summary><b><a href="https://github.com/nipy/nibabel">NiBabel</a></b> (🥈33 ·  ⭐ 500) - Python package to access a cacophony of neuro-imaging file formats. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/nipy/nibabel) (👨‍💻 94 · 🔀 240 · 📋 470 - 30% open · ⏱️ 30.09.2022):

	```
	git clone https://github.com/nipy/nibabel
	```
- [PyPi](https://pypi.org/project/nibabel) (📥 220K / month · 📦 1K · ⏱️ 18.06.2022):
	```
	pip install nibabel
	```
- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 500K · ⏱️ 31.08.2022):
	```
	conda install -c conda-forge nibabel
	```
</details>
<details><summary><b><a href="https://github.com/dipy/dipy">DIPY</a></b> (🥈31 ·  ⭐ 550) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/dipy/dipy) (👨‍💻 140 · 🔀 360 · 📦 630 · 📋 830 - 18% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/dipy/dipy
	```
- [PyPi](https://pypi.org/project/dipy) (📥 17K / month · 📦 80 · ⏱️ 11.03.2022):
	```
	pip install dipy
	```
- [Conda](https://anaconda.org/conda-forge/dipy) (📥 340K · ⏱️ 15.03.2022):
	```
	conda install -c conda-forge dipy
	```
</details>
<details><summary><b><a href="https://github.com/google/deepvariant">DeepVariant</a></b> (🥉25 ·  ⭐ 2.6K) - DeepVariant is an analysis pipeline that uses a deep neural.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/google/deepvariant) (👨‍💻 24 · 🔀 640 · 📥 4.2K · 📋 530 - 1% open · ⏱️ 17.10.2022):

	```
	git clone https://github.com/google/deepvariant
	```
- [Conda](https://anaconda.org/bioconda/deepvariant) (📥 46K · ⏱️ 05.06.2022):
	```
	conda install -c bioconda deepvariant
	```
</details>
<details><summary><b><a href="https://github.com/pyRiemann/pyRiemann">pyRiemann</a></b> (🥉24 ·  ⭐ 430) - Python machine learning package based on sklearn API for multivariate.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨‍💻 21 · 🔀 130 · 📦 160 · 📋 95 - 16% open · ⏱️ 28.10.2022):

	```
	git clone https://github.com/pyRiemann/pyRiemann
	```
- [PyPi](https://pypi.org/project/pyriemann) (📥 24K / month · 📦 13 · ⏱️ 27.06.2021):
	```
	pip install pyriemann
	```
</details>
<details><summary><b><a href="https://github.com/MIC-DKFZ/medicaldetectiontoolkit">Medical Detection Toolkit</a></b> (🥉14 ·  ⭐ 1.2K · 💤) - The Medical Detection Toolkit contains 2D + 3D.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/MIC-DKFZ/medicaldetectiontoolkit) (👨‍💻 3 · 🔀 290 · 📋 130 - 33% open · ⏱️ 04.04.2022):

	```
	git clone https://github.com/MIC-DKFZ/medicaldetectiontoolkit
	```
</details>
<details><summary>Show 9 hidden projects...</summary>

- <b><a href="https://github.com/NifTK/NiftyNet">NiftyNet</a></b> (🥉25 ·  ⭐ 1.3K · 💀) - [unmaintained] An open-source convolutional neural.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/nipy/nipy">NIPY</a></b> (🥉23 ·  ⭐ 320 · 💀) - Neuroimaging in Python FMRI analysis package. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/loli/medpy">MedPy</a></b> (🥉22 ·  ⭐ 440) - Medical image processing in Python. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/DLTK/DLTK">DLTK</a></b> (🥉21 ·  ⭐ 1.3K · 💀) - Deep Learning Toolkit for Medical Image Analysis. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/brainiak/brainiak">Brainiak</a></b> (🥉20 ·  ⭐ 280 · 💀) - Brain Imaging Analysis Kit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/projectglow/glow">Glow</a></b> (🥉20 ·  ⭐ 220) - An open-source toolkit for large-scale genomic analysis. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/perone/medicaltorch">MedicalTorch</a></b> (🥉16 ·  ⭐ 790 · 💀) - A medical imaging framework for Pytorch. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/QTIM-Lab/DeepNeuro">DeepNeuro</a></b> (🥉13 ·  ⭐ 110 · 💀) - A deep learning python package for neuroimaging data. Made by:. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/Tencent/MedicalNet">MedicalNet</a></b> (🥉12 ·  ⭐ 1.5K · 💀) - Many studies have shown that the performance on deep learning is.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
</details>
<br>

## Tabular Data

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for processing tabular and structured data._

<details><summary><b><a href="https://github.com/carefree0910/carefree-learn">carefree-learn</a></b> (🥇23 ·  ⭐ 380) - Deep Learning PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/carefree0910/carefree-learn) (👨‍💻 1 · 🔀 35 · 📦 3 · ⏱️ 10.11.2022):

	```
	git clone https://github.com/carefree0910/carefree-learn
	```
- [PyPi](https://pypi.org/project/carefree-learn) (📥 1.2K / month · ⏱️ 20.06.2022):
	```
	pip install carefree-learn
	```
</details>
<details><summary><b><a href="https://github.com/manujosephv/pytorch_tabular">pytorch_tabular</a></b> (🥉17 ·  ⭐ 760) - A standard framework for modelling Deep Learning Models.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨‍💻 11 · 🔀 82 · 📋 77 - 28% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/manujosephv/pytorch_tabular
	```
- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 1.9K / month · 📦 1 · ⏱️ 01.09.2021):
	```
	pip install pytorch_tabular
	```
</details>
<details><summary><b><a href="https://github.com/firmai/deltapy">deltapy</a></b> (🥉11 ·  ⭐ 460 · 💤) - DeltaPy - Tabular Data Augmentation (by @firmai). <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/firmai/deltapy) (👨‍💻 4 · 🔀 46 · 📦 2 · 📋 3 - 66% open · ⏱️ 01.03.2022):

	```
	git clone https://github.com/firmai/deltapy
	```
- [PyPi](https://pypi.org/project/deltapy) (📥 36 / month · ⏱️ 09.04.2020):
	```
	pip install deltapy
	```
</details>
<details><summary>Show 2 hidden projects...</summary>

- <b><a href="https://github.com/AnotherSamWilson/miceforest">miceforest</a></b> (🥈21 ·  ⭐ 200) - Multiple Imputation with LightGBM in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/upgini/upgini">upgini</a></b> (🥉19 ·  ⭐ 150) - Free automated data enrichment library for machine learning searches.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
</details>
<br>

## Optical Character Recognition

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for optical character recognition (OCR) and text extraction from images or videos._

<details><summary><b><a href="https://github.com/PaddlePaddle/PaddleOCR">PaddleOCR</a></b> (🥇38 ·  ⭐ 27K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨‍💻 140 · 🔀 5.4K · 📦 940 · 📋 5.9K - 21% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/PaddlePaddle/PaddleOCR
	```
- [PyPi](https://pypi.org/project/paddleocr) (📥 42K / month · 📦 9 · ⏱️ 10.05.2022):
	```
	pip install paddleocr
	```
</details>
<details><summary><b><a href="https://github.com/JaidedAI/EasyOCR">EasyOCR</a></b> (🥇35 ·  ⭐ 16K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/JaidedAI/EasyOCR) (👨‍💻 110 · 🔀 2.3K · 📥 2.5M · 📦 1.7K · 📋 670 - 18% open · ⏱️ 13.10.2022):

	```
	git clone https://github.com/JaidedAI/EasyOCR
	```
- [PyPi](https://pypi.org/project/easyocr) (📥 140K / month · 📦 37 · ⏱️ 02.06.2022):
	```
	pip install easyocr
	```
</details>
<details><summary><b><a href="https://github.com/madmaze/pytesseract">Tesseract</a></b> (🥈33 ·  ⭐ 4.5K) - Python-tesseract is an optical character recognition (OCR) tool.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/madmaze/pytesseract) (👨‍💻 43 · 🔀 630 · 📋 320 - 6% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/madmaze/pytesseract
	```
- [PyPi](https://pypi.org/project/pytesseract) (📥 640K / month · 📦 960 · ⏱️ 19.02.2022):
	```
	pip install pytesseract
	```
- [Conda](https://anaconda.org/conda-forge/pytesseract) (📥 530K · ⏱️ 15.03.2022):
	```
	conda install -c conda-forge pytesseract
	```
</details>
<details><summary><b><a href="https://github.com/ocrmypdf/OCRmyPDF">OCRmyPDF</a></b> (🥈29 ·  ⭐ 7.6K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code></summary>

- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨‍💻 74 · 🔀 630 · 📋 900 - 10% open · ⏱️ 04.10.2022):

	```
	git clone https://github.com/ocrmypdf/OCRmyPDF
	```
- [PyPi](https://pypi.org/project/ocrmypdf) (📥 25K / month · 📦 13 · ⏱️ 04.07.2022):
	```
	pip install ocrmypdf
	```
- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 31K · ⏱️ 04.10.2022):
	```
	conda install -c conda-forge ocrmypdf
	```
</details>
<details><summary><b><a href="https://github.com/open-mmlab/mmocr">MMOCR</a></b> (🥈28 ·  ⭐ 2.9K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/open-mmlab/mmocr) (👨‍💻 66 · 🔀 540 · 📦 32 · 📋 760 - 15% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/open-mmlab/mmocr
	```
- [PyPi](https://pypi.org/project/mmocr) (📥 12K / month · 📦 1 · ⏱️ 05.05.2022):
	```
	pip install mmocr
	```
</details>
<details><summary><b><a href="https://github.com/sirfz/tesserocr">tesserocr</a></b> (🥈28 ·  ⭐ 1.7K) - A Python wrapper for the tesseract-ocr API. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/sirfz/tesserocr) (👨‍💻 27 · 🔀 230 · 📦 720 · 📋 250 - 31% open · ⏱️ 26.08.2022):

	```
	git clone https://github.com/sirfz/tesserocr
	```
- [PyPi](https://pypi.org/project/tesserocr) (📥 46K / month · 📦 67 · ⏱️ 19.06.2021):
	```
	pip install tesserocr
	```
- [Conda](https://anaconda.org/conda-forge/tesserocr) (📥 90K · ⏱️ 06.11.2022):
	```
	conda install -c conda-forge tesserocr
	```
</details>
<details><summary><b><a href="https://github.com/faustomorales/keras-ocr">keras-ocr</a></b> (🥉22 ·  ⭐ 1.1K) - A packaged and flexible version of the CRAFT text detector and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/faustomorales/keras-ocr) (👨‍💻 15 · 🔀 280 · 📥 370K · 📋 180 - 40% open · ⏱️ 19.05.2022):

	```
	git clone https://github.com/faustomorales/keras-ocr
	```
- [PyPi](https://pypi.org/project/keras-ocr) (📥 5.8K / month · 📦 2 · ⏱️ 19.05.2022):
	```
	pip install keras-ocr
	```
- [Conda](https://anaconda.org/anaconda/keras-ocr) (📥 120 · ⏱️ 14.01.2022):
	```
	conda install -c anaconda keras-ocr
	```
</details>
<details><summary><b><a href="https://github.com/WZBSocialScienceCenter/pdftabextract">pdftabextract</a></b> (🥉21 ·  ⭐ 2K) - A set of tools for extracting tables from PDF files helping to.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/WZBSocialScienceCenter/pdftabextract) (👨‍💻 3 · 🔀 350 · 📦 42 · 📋 21 - 14% open · ⏱️ 24.06.2022):

	```
	git clone https://github.com/WZBSocialScienceCenter/pdftabextract
	```
- [PyPi](https://pypi.org/project/pdftabextract) (📥 390 / month · 📦 1 · ⏱️ 09.01.2018):
	```
	pip install pdftabextract
	```
</details>
<details><summary><b><a href="https://github.com/Calamari-OCR/calamari">calamari</a></b> (🥉20 ·  ⭐ 940) - Line based ATR Engine based on OCRopy. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/Calamari-OCR/calamari) (👨‍💻 19 · 🔀 200 · 📋 250 - 19% open · ⏱️ 10.06.2022):

	```
	git clone https://github.com/Calamari-OCR/calamari
	```
- [PyPi](https://pypi.org/project/calamari_ocr) (📥 840 / month · 📦 2 · ⏱️ 13.11.2018):
	```
	pip install calamari_ocr
	```
</details>
<details><summary>Show 3 hidden projects...</summary>

- <b><a href="https://github.com/emedvedev/attention-ocr">attention-ocr</a></b> (🥉21 ·  ⭐ 930 · 💀) - A Tensorflow model for text recognition (CNN + seq2seq.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/jlsutherland/doc2text">doc2text</a></b> (🥉20 ·  ⭐ 1.3K · 💀) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/aashrafh/Mozart">Mozart</a></b> (🥉9 ·  ⭐ 410) - An optical music recognition (OMR) system. Converts sheet music to.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
</details>
<br>

## Data Containers & Structures

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_General-purpose data containers & structures as well as utilities & extensions for pandas._

🔗&nbsp;<b><a href="https://github.com/ml-tooling/best-of-python#data-containers--dataframes">best-of-python - Data Containers</a></b> ( ⭐ 2.6K)  - Collection of data-container, dataframe, and pandas-..

<br>

## Data Loading & Extraction

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for loading, collecting, and extracting data from a variety of data sources and formats._

🔗&nbsp;<b><a href="https://github.com/ml-tooling/best-of-python#data-loading--extraction">best-of-python - Data Extraction</a></b> ( ⭐ 2.6K)  - Collection of data-loading and -extraction libraries.

<br>

## Web Scraping & Crawling

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for web scraping, crawling, downloading, and mining as well as libraries._

🔗&nbsp;<b><a href="https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling">best-of-web-python - Web Scraping</a></b> ( ⭐ 1.7K)  - Collection of web-scraping and crawling libraries.

<br>

## Data Pipelines & Streaming

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks._

🔗&nbsp;<b><a href="https://github.com/ml-tooling/best-of-python#data-pipelines--streaming">best-of-python - Data Pipelines</a></b> ( ⭐ 2.6K)  - Libraries for data batch- and stream-processing,..

<br>

## Distributed Machine Learning

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._

<details><summary><b><a href="https://github.com/ray-project/ray">Ray</a></b> (🥇44 ·  ⭐ 23K) - Ray is a unified framework for scaling AI and Python applications. Ray.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/ray-project/ray) (👨‍💻 780 · 🔀 4K · 📦 6.3K · 📋 12K - 22% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/ray-project/ray
	```
- [PyPi](https://pypi.org/project/ray) (📥 2M / month · 📦 280 · ⏱️ 09.06.2022):
	```
	pip install ray
	```
- [Conda](https://anaconda.org/conda-forge/ray-tune) (📥 74K · ⏱️ 09.11.2022):
	```
	conda install -c conda-forge ray-tune
	```
</details>
<details><summary><b><a href="https://github.com/dask/dask">dask</a></b> (🥇43 ·  ⭐ 10K) - Parallel computing with task scheduling. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/dask/dask) (👨‍💻 560 · 🔀 1.6K · 📦 41K · 📋 4.6K - 17% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/dask/dask
	```
- [PyPi](https://pypi.org/project/dask) (📥 7.4M / month · 📦 2.7K · ⏱️ 24.06.2022):
	```
	pip install dask
	```
- [Conda](https://anaconda.org/conda-forge/dask) (📥 7.1M · ⏱️ 01.11.2022):
	```
	conda install -c conda-forge dask
	```
</details>
<details><summary><b><a href="https://github.com/dask/distributed">dask.distributed</a></b> (🥇40 ·  ⭐ 1.4K) - A distributed task scheduler for Dask. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/dask/distributed) (👨‍💻 300 · 🔀 660 · 📦 26K · 📋 3.3K - 38% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/dask/distributed
	```
- [PyPi](https://pypi.org/project/distributed) (📥 3.9M / month · 📦 1.2K · ⏱️ 24.06.2022):
	```
	pip install distributed
	```
- [Conda](https://anaconda.org/conda-forge/distributed) (📥 8.6M · ⏱️ 01.11.2022):
	```
	conda install -c conda-forge distributed
	```
</details>
<details><summary><b><a href="https://github.com/horovod/horovod">horovod</a></b> (🥇38 ·  ⭐ 13K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/horovod/horovod) (👨‍💻 160 · 🔀 2.1K · 📦 690 · 📋 2.1K - 16% open · ⏱️ 30.10.2022):

	```
	git clone https://github.com/horovod/horovod
	```
- [PyPi](https://pypi.org/project/horovod) (📥 89K / month · 📦 30 · ⏱️ 21.06.2022):
	```
	pip install horovod
	```
</details>
<details><summary><b><a href="https://github.com/microsoft/DeepSpeed">DeepSpeed</a></b> (🥈35 ·  ⭐ 8.1K) - DeepSpeed is a deep learning optimization library that makes.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/microsoft/DeepSpeed) (👨‍💻 140 · 🔀 930 · 📦 460 · 📋 1.1K - 49% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/microsoft/DeepSpeed
	```
- [PyPi](https://pypi.org/project/deepspeed) (📥 580K / month · 📦 12 · ⏱️ 25.05.2022):
	```
	pip install deepspeed
	```
- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (📥 14K · ⭐ 3 · ⏱️ 02.09.2022):
	```
	docker pull deepspeed/deepspeed
	```
</details>
<details><summary><b><a href="https://github.com/intel-analytics/BigDL">BigDL</a></b> (🥈35 ·  ⭐ 4.1K) - Fast, distributed, secure AI for Big Data. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/intel-analytics/BigDL) (👨‍💻 170 · 🔀 1.1K · 📦 40 · 📋 1.7K - 38% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/intel-analytics/BigDL
	```
- [PyPi](https://pypi.org/project/bigdl) (📥 3.9K / month · 📦 1 · ⏱️ 07.07.2022):
	```
	pip install bigdl
	```
- [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (📦 4 · ⏱️ 20.04.2021):
	```
	<dependency>
		<groupId>com.intel.analytics.bigdl</groupId>
		<artifactId>bigdl-SPARK_2.4</artifactId>
		<version>[VERSION]</version>
	</dependency>
	```
</details>
<details><summary><b><a href="https://github.com/Lightning-AI/metrics">metrics</a></b> (🥈34 ·  ⭐ 1.1K) - Machine learning metrics for distributed, scalable PyTorch.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/Lightning-AI/metrics) (👨‍💻 160 · 🔀 230 · 📥 1.2K · 📦 5.5K · 📋 490 - 11% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/Lightning-AI/metrics
	```
- [PyPi](https://pypi.org/project/metrics) (📥 3.3K / month · 📦 14 · ⏱️ 28.04.2018):
	```
	pip install metrics
	```
- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 560K · ⏱️ 04.11.2022):
	```
	conda install -c conda-forge torchmetrics
	```
</details>
<details><summary><b><a href="https://github.com/h2oai/h2o-3">H2O-3</a></b> (🥈33 ·  ⭐ 6K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/h2oai/h2o-3) (👨‍💻 230 · 🔀 1.9K · ⏱️ 08.11.2022):

	```
	git clone https://github.com/h2oai/h2o-3
	```
- [PyPi](https://pypi.org/project/h2o) (📥 420K / month · 📦 76 · ⏱️ 26.05.2022):
	```
	pip install h2o
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/fairscale">FairScale</a></b> (🥈33 ·  ⭐ 1.9K) - PyTorch extensions for high performance and large scale training. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/fairscale) (👨‍💻 64 · 🔀 190 · 📦 840 · 📋 330 - 19% open · ⏱️ 21.10.2022):

	```
	git clone https://github.com/facebookresearch/fairscale
	```
- [PyPi](https://pypi.org/project/fairscale) (📥 940K / month · 📦 20 · ⏱️ 09.03.2022):
	```
	pip install fairscale
	```
- [Conda](https://anaconda.org/conda-forge/fairscale) (📥 67K · ⏱️ 20.06.2022):
	```
	conda install -c conda-forge fairscale
	```
</details>
<details><summary><b><a href="https://github.com/microsoft/SynapseML">SynapseML</a></b> (🥈29 ·  ⭐ 3.8K) - Simple and Distributed Machine Learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 100 · 🔀 720 · 📋 630 - 42% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/microsoft/SynapseML
	```
- [PyPi](https://pypi.org/project/synapseml) (📥 67K / month · 📦 1 · ⏱️ 12.01.2022):
	```
	pip install synapseml
	```
</details>
<details><summary><b><a href="https://github.com/maxpumperla/elephas">Elephas</a></b> (🥈29 ·  ⭐ 1.6K) - Distributed Deep learning with Keras & Spark. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>keras</code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/maxpumperla/elephas) (👨‍💻 27 · 🔀 300 · 📦 61 · 📋 170 - 10% open · ⏱️ 31.08.2022):

	```
	git clone https://github.com/maxpumperla/elephas
	```
- [PyPi](https://pypi.org/project/elephas) (📥 90K / month · 📦 3 · ⏱️ 30.03.2022):
	```
	pip install elephas
	```
- [Conda](https://anaconda.org/conda-forge/elephas) (📥 10K · ⏱️ 02.06.2021):
	```
	conda install -c conda-forge elephas
	```
</details>
<details><summary><b><a href="https://github.com/mpi4py/mpi4py">mpi4py</a></b> (🥈29 ·  ⭐ 590) - Python bindings for MPI. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>

- [GitHub](https://github.com/mpi4py/mpi4py) (👨‍💻 22 · 🔀 83 · 📥 7.3K · 📋 92 - 9% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/mpi4py/mpi4py
	```
- [PyPi](https://pypi.org/project/mpi4py) (📥 240K / month · 📦 620 · ⏱️ 25.11.2021):
	```
	pip install mpi4py
	```
- [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 1.5M · ⏱️ 03.11.2022):
	```
	conda install -c conda-forge mpi4py
	```
</details>
<details><summary><b><a href="https://github.com/hpcaitech/ColossalAI">ColossalAI</a></b> (🥈27 ·  ⭐ 5.8K) - Colossal-AI: A Unified Deep Learning System for Big Model Era. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨‍💻 78 · 🔀 570 · 📦 140 · 📋 250 - 34% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/hpcaitech/colossalai
	```
</details>
<details><summary><b><a href="https://github.com/yahoo/TensorFlowOnSpark">TensorFlowOnSpark</a></b> (🥈27 ·  ⭐ 3.8K · 💤) - TensorFlowOnSpark brings TensorFlow programs to.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (👨‍💻 34 · 🔀 960 · 📋 360 - 2% open · ⏱️ 21.04.2022):

	```
	git clone https://github.com/yahoo/TensorFlowOnSpark
	```
- [PyPi](https://pypi.org/project/tensorflowonspark) (📥 180K / month · 📦 5 · ⏱️ 21.04.2022):
	```
	pip install tensorflowonspark
	```
- [Conda](https://anaconda.org/conda-forge/tensorflowonspark) (📥 14K · ⏱️ 21.08.2022):
	```
	conda install -c conda-forge tensorflowonspark
	```
</details>
<details><summary><b><a href="https://github.com/uber/petastorm">petastorm</a></b> (🥈27 ·  ⭐ 1.5K) - Petastorm library enables single machine or distributed training.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/uber/petastorm) (👨‍💻 45 · 🔀 260 · 📥 340 · 📦 83 · 📋 300 - 51% open · ⏱️ 14.09.2022):

	```
	git clone https://github.com/uber/petastorm
	```
- [PyPi](https://pypi.org/project/petastorm) (📥 53K / month · 📦 7 · ⏱️ 19.02.2022):
	```
	pip install petastorm
	```
</details>
<details><summary><b><a href="https://github.com/dask/dask-ml">dask-ml</a></b> (🥈27 ·  ⭐ 830) - Scalable Machine Learning with Dask. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/dask/dask-ml) (👨‍💻 76 · 🔀 230 · 📦 690 · 📋 490 - 50% open · ⏱️ 19.10.2022):

	```
	git clone https://github.com/dask/dask-ml
	```
- [PyPi](https://pypi.org/project/dask-ml) (📥 57K / month · 📦 57 · ⏱️ 27.05.2022):
	```
	pip install dask-ml
	```
- [Conda](https://anaconda.org/conda-forge/dask-ml) (📥 590K · ⏱️ 27.05.2022):
	```
	conda install -c conda-forge dask-ml
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/mesh">Mesh</a></b> (🥉25 ·  ⭐ 1.3K) - Mesh TensorFlow: Model Parallelism Made Easier. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/mesh) (👨‍💻 48 · 🔀 220 · 📦 730 · 📋 110 - 87% open · ⏱️ 04.10.2022):

	```
	git clone https://github.com/tensorflow/mesh
	```
- [PyPi](https://pypi.org/project/mesh-tensorflow) (📥 20K / month · 📦 32 · ⏱️ 15.05.2022):
	```
	pip install mesh-tensorflow
	```
</details>
<details><summary><b><a href="https://github.com/learning-at-home/hivemind">Hivemind</a></b> (🥉25 ·  ⭐ 1.2K) - Decentralized deep learning in PyTorch. Built to train models on.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/learning-at-home/hivemind) (👨‍💻 24 · 🔀 70 · 📦 20 · 📋 140 - 31% open · ⏱️ 01.11.2022):

	```
	git clone https://github.com/learning-at-home/hivemind
	```
- [PyPi](https://pypi.org/project/hivemind) (📥 4.1K / month · 📦 2 · ⏱️ 20.06.2022):
	```
	pip install hivemind
	```
</details>
<details><summary><b><a href="https://github.com/microsoft/SynapseML">MMLSpark</a></b> (🥉24 ·  ⭐ 3.8K) - Simple and Distributed Machine Learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 100 · 🔀 720 · 📋 630 - 42% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/microsoft/SynapseML
	```
- [PyPi](https://pypi.org/project/mmlspark) (⏱️ 18.03.2020):
	```
	pip install mmlspark
	```
</details>
<details><summary><b><a href="https://github.com/intel-analytics/analytics-zoo">analytics-zoo</a></b> (🥉24 ·  ⭐ 2.5K) - Distributed Tensorflow, Keras and PyTorch on Apache.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/intel-analytics/analytics-zoo) (👨‍💻 110 · 🔀 720 · 📦 3 · 📋 1.4K - 39% open · ⏱️ 04.11.2022):

	```
	git clone https://github.com/intel-analytics/analytics-zoo
	```
- [PyPi](https://pypi.org/project/analytics-zoo) (📥 660 / month · 📦 1 · ⏱️ 07.07.2022):
	```
	pip install analytics-zoo
	```
</details>
<details><summary><b><a href="https://github.com/apache/singa">Apache Singa</a></b> (🥉21 ·  ⭐ 2.7K) - a distributed deep learning platform. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/apache/singa) (👨‍💻 79 · 🔀 880 · 📦 1 · 📋 100 - 37% open · ⏱️ 01.06.2022):

	```
	git clone https://github.com/apache/singa
	```
- [Conda](https://anaconda.org/nusdbsystem/singa) (📥 550 · ⏱️ 09.08.2021):
	```
	conda install -c nusdbsystem singa
	```
- [Docker Hub](https://hub.docker.com/r/apache/singa) (📥 2K · ⭐ 4 · ⏱️ 31.05.2022):
	```
	docker pull apache/singa
	```
</details>
<details><summary><b><a href="https://github.com/facebookincubator/submitit">Submit it</a></b> (🥉21 ·  ⭐ 730) - Python 3.6+ toolbox for submitting jobs to Slurm. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/facebookincubator/submitit) (👨‍💻 23 · 🔀 80 · 📋 81 - 39% open · ⏱️ 28.09.2022):

	```
	git clone https://github.com/facebookincubator/submitit
	```
- [PyPi](https://pypi.org/project/submitit) (📥 40K / month · 📦 6 · ⏱️ 07.04.2022):
	```
	pip install submitit
	```
- [Conda](https://anaconda.org/conda-forge/submitit) (📥 11K · ⏱️ 10.02.2021):
	```
	conda install -c conda-forge submitit
	```
</details>
<details><summary><b><a href="https://github.com/bytedance/byteps">BytePS</a></b> (🥉19 ·  ⭐ 3.3K · 💤) - A high performance and generic framework for distributed DNN.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/bytedance/byteps) (👨‍💻 19 · 🔀 460 · 📋 260 - 38% open · ⏱️ 10.02.2022):

	```
	git clone https://github.com/bytedance/byteps
	```
- [PyPi](https://pypi.org/project/byteps) (📥 23 / month · ⏱️ 02.08.2021):
	```
	pip install byteps
	```
- [Docker Hub](https://hub.docker.com/r/bytepsimage/tensorflow) (📥 1.3K · ⏱️ 03.03.2020):
	```
	docker pull bytepsimage/tensorflow
	```
</details>
<details><summary><b><a href="https://github.com/tunib-ai/parallelformers">parallelformers</a></b> (🥉18 ·  ⭐ 540) - Parallelformers: An Efficient Model Parallelization.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/tunib-ai/parallelformers) (👨‍💻 5 · 🔀 36 · 📦 11 · 📋 32 - 46% open · ⏱️ 27.07.2022):

	```
	git clone https://github.com/tunib-ai/parallelformers
	```
- [PyPi](https://pypi.org/project/parallelformers) (📥 1.5K / month · ⏱️ 29.12.2021):
	```
	pip install parallelformers
	```
</details>
<details><summary><b><a href="https://github.com/kingoflolz/mesh-transformer-jax">mesh-transformer-jax</a></b> (🥉16 ·  ⭐ 4.5K · 💤) - Model parallel transformers in JAX and Haiku. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (👨‍💻 23 · 🔀 640 · 📋 190 - 16% open · ⏱️ 28.01.2022):

	```
	git clone https://github.com/kingoflolz/mesh-transformer-jax
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/moolib">moolib</a></b> (🥉12 ·  ⭐ 340) - A library for distributed ML training with PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/moolib) (👨‍💻 5 · 🔀 15 · 📦 3 · 📋 17 - 35% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/facebookresearch/moolib
	```
</details>
<details><summary>Show 10 hidden projects...</summary>

- <b><a href="https://github.com/DEAP/deap">DEAP</a></b> (🥈32 ·  ⭐ 4.9K · 📉) - Distributed Evolutionary Algorithms in Python. <code><a href="http://bit.ly/37RvQcA">❗️LGPL-3.0</a></code>
- <b><a href="https://github.com/ipython/ipyparallel">ipyparallel</a></b> (🥈30 ·  ⭐ 2.3K) - IPython Parallel: Interactive Parallel Computing in.. <code>❗Unlicensed</code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/deepmind/launchpad">launchpad</a></b> (🥉21 ·  ⭐ 280) - Launchpad is a library that simplifies writing distributed.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/databricks/tensorframes">TensorFrames</a></b> (🥉20 ·  ⭐ 760 · 💀) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/Ibotta/sk-dist">sk-dist</a></b> (🥉20 ·  ⭐ 280 · 💀) - Distributed scikit-learn meta-estimators in PySpark. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/peterwittek/somoclu">somoclu</a></b> (🥉19 ·  ⭐ 240) - Massively parallel self-organizing maps: accelerate training on multicore.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/uber/fiber">Fiber</a></b> (🥉18 ·  ⭐ 990 · 💀) - Distributed Computing for AI Made Simple. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/Bluefog-Lib/bluefog">bluefog</a></b> (🥉16 ·  ⭐ 270) - Distributed and decentralized training framework for PyTorch.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/ml-tooling/lazycluster">LazyCluster</a></b> (🥉14 ·  ⭐ 44 · 💀) - Distributed machine learning made simple. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/petuum/autodist">autodist</a></b> (🥉11 ·  ⭐ 120 · 💀) - Simple Distributed Deep Learning on TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
</details>
<br>

## Hyperparameter Optimization & AutoML

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for hyperparameter optimization, automl and neural architecture search._

<details><summary><b><a href="https://github.com/optuna/optuna">Optuna</a></b> (🥇40 ·  ⭐ 7.2K) - A hyperparameter optimization framework. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/optuna/optuna) (👨‍💻 210 · 🔀 770 · 📦 4.6K · 📋 1.3K - 7% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/optuna/optuna
	```
- [PyPi](https://pypi.org/project/optuna) (📥 1.9M / month · 📦 240 · ⏱️ 13.06.2022):
	```
	pip install optuna
	```
- [Conda](https://anaconda.org/conda-forge/optuna) (📥 350K · ⏱️ 13.10.2022):
	```
	conda install -c conda-forge optuna
	```
</details>
<details><summary><b><a href="https://github.com/microsoft/nni">NNI</a></b> (🥇36 ·  ⭐ 12K) - An open source AutoML toolkit for automate machine learning lifecycle,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/microsoft/nni) (👨‍💻 180 · 🔀 1.7K · 📦 300 · 📋 1.8K - 13% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/microsoft/nni
	```
- [PyPi](https://pypi.org/project/nni) (📥 24K / month · 📦 30 · ⏱️ 22.06.2022):
	```
	pip install nni
	```
</details>
<details><summary><b><a href="https://github.com/keras-team/autokeras">AutoKeras</a></b> (🥇34 ·  ⭐ 8.7K) - AutoML library for deep learning. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/keras-team/autokeras) (👨‍💻 140 · 🔀 1.4K · 📥 9.5K · 📦 380 · 📋 850 - 12% open · ⏱️ 24.10.2022):

	```
	git clone https://github.com/keras-team/autokeras
	```
- [PyPi](https://pypi.org/project/autokeras) (📥 32K / month · 📦 10 · ⏱️ 30.04.2022):
	```
	pip install autokeras
	```
</details>
<details><summary><b><a href="https://github.com/automl/auto-sklearn">auto-sklearn</a></b> (🥇34 ·  ⭐ 6.6K) - Automated Machine Learning with scikit-learn. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/automl/auto-sklearn) (👨‍💻 87 · 🔀 1.2K · 📥 39 · 📦 340 · 📋 940 - 14% open · ⏱️ 10.10.2022):

	```
	git clone https://github.com/automl/auto-sklearn
	```
- [PyPi](https://pypi.org/project/auto-sklearn) (📥 36K / month · 📦 30 · ⏱️ 20.09.2022):
	```
	pip install auto-sklearn
	```
- [Conda](https://anaconda.org/conda-forge/auto-sklearn) (📥 11K · ⏱️ 21.09.2022):
	```
	conda install -c conda-forge auto-sklearn
	```
</details>
<details><summary><b><a href="https://github.com/fmfn/BayesianOptimization">Bayesian Optimization</a></b> (🥇34 ·  ⭐ 6.4K) - A Python implementation of global optimization with.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/fmfn/BayesianOptimization) (👨‍💻 36 · 🔀 1.4K · 📥 110 · 📦 1.4K · 📋 280 - 6% open · ⏱️ 27.10.2022):

	```
	git clone https://github.com/fmfn/BayesianOptimization
	```
- [PyPi](https://pypi.org/project/bayesian-optimization) (📥 180K / month · 📦 91 · ⏱️ 16.05.2020):
	```
	pip install bayesian-optimization
	```
</details>
<details><summary><b><a href="https://github.com/alteryx/featuretools">featuretools</a></b> (🥇33 ·  ⭐ 6.4K) - An open source python library for automated feature engineering. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/alteryx/featuretools) (👨‍💻 68 · 🔀 830 · 📋 880 - 18% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/alteryx/featuretools
	```
- [PyPi](https://pypi.org/project/featuretools) (📥 100K / month · 📦 64 · ⏱️ 05.07.2022):
	```
	pip install featuretools
	```
- [Conda](https://anaconda.org/conda-forge/featuretools) (📥 120K · ⏱️ 31.10.2022):
	```
	conda install -c conda-forge featuretools
	```
</details>
<details><summary><b><a href="https://github.com/keras-team/keras-tuner">Keras Tuner</a></b> (🥇33 ·  ⭐ 2.6K) - A Hyperparameter Tuning Library for Keras. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/keras-team/keras-tuner) (👨‍💻 51 · 🔀 340 · 📦 1.7K · 📋 410 - 43% open · ⏱️ 16.10.2022):

	```
	git clone https://github.com/keras-team/keras-tuner
	```
- [PyPi](https://pypi.org/project/keras-tuner) (📥 560K / month · 📦 46 · ⏱️ 25.03.2022):
	```
	pip install keras-tuner
	```
- [Conda](https://anaconda.org/conda-forge/keras-tuner) (📥 11K · ⏱️ 16.10.2022):
	```
	conda install -c conda-forge keras-tuner
	```
</details>
<details><summary><b><a href="https://github.com/pytorch/botorch">BoTorch</a></b> (🥇33 ·  ⭐ 2.4K) - Bayesian optimization in PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pytorch/botorch) (👨‍💻 85 · 🔀 280 · 📦 350 · 📋 320 - 20% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/pytorch/botorch
	```
- [PyPi](https://pypi.org/project/botorch) (📥 170K / month · 📦 18 · ⏱️ 21.04.2022):
	```
	pip install botorch
	```
- [Conda](https://anaconda.org/conda-forge/botorch) (📥 46K · ⏱️ 02.10.2022):
	```
	conda install -c conda-forge botorch
	```
</details>
<details><summary><b><a href="https://github.com/facebook/Ax">Ax</a></b> (🥇33 ·  ⭐ 1.9K) - Adaptive Experimentation Platform. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebook/Ax) (👨‍💻 130 · 🔀 220 · 📦 350 · 📋 470 - 8% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/facebook/Ax
	```
- [PyPi](https://pypi.org/project/ax-platform) (📥 110K / month · 📦 15 · ⏱️ 26.04.2022):
	```
	pip install ax-platform
	```
- [Conda](https://anaconda.org/conda-forge/ax-platform) (📥 4.4K · ⏱️ 14.10.2022):
	```
	conda install -c conda-forge ax-platform
	```
</details>
<details><summary><b><a href="https://github.com/hyperopt/hyperopt">Hyperopt</a></b> (🥈32 ·  ⭐ 6.5K · 💤) - Distributed Asynchronous Hyperparameter Optimization in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/hyperopt/hyperopt) (👨‍💻 93 · 🔀 1K · 📦 8K · 📋 620 - 61% open · ⏱️ 29.11.2021):

	```
	git clone https://github.com/hyperopt/hyperopt
	```
- [PyPi](https://pypi.org/project/hyperopt) (📥 1.8M / month · 📦 430 · ⏱️ 17.11.2021):
	```
	pip install hyperopt
	```
- [Conda](https://anaconda.org/conda-forge/hyperopt) (📥 600K · ⏱️ 30.04.2022):
	```
	conda install -c conda-forge hyperopt
	```
</details>
<details><summary><b><a href="https://github.com/awslabs/autogluon">AutoGluon</a></b> (🥈32 ·  ⭐ 5K) - AutoGluon: AutoML for Image, Text, and Tabular Data. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/awslabs/autogluon) (👨‍💻 92 · 🔀 660 · 📦 180 · 📋 800 - 24% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/awslabs/autogluon
	```
- [PyPi](https://pypi.org/project/autogluon) (📥 31K / month · 📦 5 · ⏱️ 07.07.2022):
	```
	pip install autogluon
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/nevergrad">nevergrad</a></b> (🥈28 ·  ⭐ 3.4K) - A Python toolbox for performing gradient-free optimization. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/facebookresearch/nevergrad) (👨‍💻 49 · 🔀 320 · 📦 400 · 📋 260 - 39% open · ⏱️ 10.08.2022):

	```
	git clone https://github.com/facebookresearch/nevergrad
	```
- [PyPi](https://pypi.org/project/nevergrad) (📥 31K / month · 📦 20 · ⏱️ 08.03.2022):
	```
	pip install nevergrad
	```
- [Conda](https://anaconda.org/conda-forge/nevergrad) (📥 33K · ⏱️ 14.06.2021):
	```
	conda install -c conda-forge nevergrad
	```
</details>
<details><summary><b><a href="https://github.com/maxpumperla/hyperas">Hyperas</a></b> (🥈27 ·  ⭐ 2.1K · 💤) - Keras + Hyperopt: A very simple wrapper for convenient.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/maxpumperla/hyperas) (👨‍💻 21 · 🔀 310 · 📦 260 · 📋 250 - 37% open · ⏱️ 19.11.2021):

	```
	git clone https://github.com/maxpumperla/hyperas
	```
- [PyPi](https://pypi.org/project/hyperas) (📥 12K / month · 📦 24 · ⏱️ 28.02.2019):
	```
	pip install hyperas
	```
</details>
<details><summary><b><a href="https://github.com/mljar/mljar-supervised">mljar-supervised</a></b> (🥈26 ·  ⭐ 2.3K) - Python package for AutoML on Tabular Data with Feature.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/mljar/mljar-supervised) (👨‍💻 19 · 🔀 300 · 📦 56 · 📋 510 - 21% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/mljar/mljar-supervised
	```
- [PyPi](https://pypi.org/project/mljar-supervised) (📥 6K / month · 📦 2 · ⏱️ 02.03.2022):
	```
	pip install mljar-supervised
	```
- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (📥 5.1K · ⏱️ 17.08.2022):
	```
	conda install -c conda-forge mljar-supervised
	```
</details>
<details><summary><b><a href="https://github.com/aimclub/FEDOT">FEDOT</a></b> (🥈25 ·  ⭐ 460) - Automated modeling and machine learning framework FEDOT. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/aimclub/FEDOT) (👨‍💻 26 · 🔀 60 · 📦 24 · 📋 430 - 27% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/nccr-itmo/FEDOT
	```
- [PyPi](https://pypi.org/project/fedot) (📥 1.1K / month · ⏱️ 28.03.2022):
	```
	pip install fedot
	```
</details>
<details><summary><b><a href="https://github.com/shankarpandala/lazypredict">lazypredict</a></b> (🥈24 ·  ⭐ 450) - Lazy Predict help build a lot of basic models without much code.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/shankarpandala/lazypredict) (👨‍💻 18 · 🔀 79 · 📦 350 · 📋 75 - 52% open · ⏱️ 28.09.2022):

	```
	git clone https://github.com/shankarpandala/lazypredict
	```
- [PyPi](https://pypi.org/project/lazypredict) (📥 7.1K / month · ⏱️ 17.02.2021):
	```
	pip install lazypredict
	```
- [Conda](https://anaconda.org/conda-forge/lazypredict) (📥 1.1K · ⏱️ 29.09.2022):
	```
	conda install -c conda-forge lazypredict
	```
</details>
<details><summary><b><a href="https://github.com/autonomio/talos">Talos</a></b> (🥉23 ·  ⭐ 1.6K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/autonomio/talos) (👨‍💻 22 · 🔀 260 · 📦 150 · 📋 400 - 2% open · ⏱️ 18.09.2022):

	```
	git clone https://github.com/autonomio/talos
	```
- [PyPi](https://pypi.org/project/talos) (📥 1K / month · 📦 7 · ⏱️ 28.05.2022):
	```
	pip install talos
	```
</details>
<details><summary><b><a href="https://github.com/automl/HpBandSter">HpBandSter</a></b> (🥉23 ·  ⭐ 550 · 💤) - a distributed Hyperband implementation on Steroids. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/automl/HpBandSter) (👨‍💻 11 · 🔀 110 · 📦 260 · 📋 92 - 61% open · ⏱️ 22.04.2022):

	```
	git clone https://github.com/automl/HpBandSter
	```
- [PyPi](https://pypi.org/project/hpbandster) (📥 15K / month · 📦 10 · ⏱️ 06.11.2018):
	```
	pip install hpbandster
	```
- [Conda](https://anaconda.org/conda-forge/hpbandster) (📥 4K · ⏱️ 11.12.2020):
	```
	conda install -c conda-forge hpbandster
	```
</details>
<details><summary><b><a href="https://github.com/AutoViML/featurewiz">featurewiz</a></b> (🥉23 ·  ⭐ 320) - Use advanced feature engineering strategies and select best.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/AutoViML/featurewiz) (👨‍💻 6 · 🔀 63 · 📦 22 · ⏱️ 24.10.2022):

	```
	git clone https://github.com/AutoViML/featurewiz
	```
- [PyPi](https://pypi.org/project/featurewiz) (📥 11K / month · 📦 1 · ⏱️ 05.07.2022):
	```
	pip install featurewiz
	```
</details>
<details><summary><b><a href="https://github.com/Neuraxio/Neuraxle">Neuraxle</a></b> (🥉21 ·  ⭐ 550) - The worlds cleanest AutoML library - Do hyperparameter tuning with.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/Neuraxio/Neuraxle) (👨‍💻 7 · 🔀 54 · 📦 34 · 📋 320 - 19% open · ⏱️ 16.08.2022):

	```
	git clone https://github.com/Neuraxio/Neuraxle
	```
- [PyPi](https://pypi.org/project/neuraxle) (📥 360 / month · 📦 1 · ⏱️ 15.04.2022):
	```
	pip install neuraxle
	```
</details>
<details><summary><b><a href="https://github.com/dragonfly/dragonfly">Dragonfly</a></b> (🥉20 ·  ⭐ 740) - An open source python library for scalable Bayesian optimisation. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/dragonfly/dragonfly) (👨‍💻 13 · 🔀 210 · 📋 58 - 65% open · ⏱️ 01.10.2022):

	```
	git clone https://github.com/dragonfly/dragonfly
	```
- [PyPi](https://pypi.org/project/dragonfly-opt) (📥 34K / month · 📦 2 · ⏱️ 03.07.2020):
	```
	pip install dragonfly-opt
	```
</details>
<details><summary><b><a href="https://github.com/SimonBlanke/Hyperactive">Hyperactive</a></b> (🥉20 ·  ⭐ 420) - An optimization and data collection toolbox for convenient and fast.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/SimonBlanke/Hyperactive) (👨‍💻 5 · 🔀 36 · 📥 100 · 📦 16 · 📋 49 - 14% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/SimonBlanke/Hyperactive
	```
- [PyPi](https://pypi.org/project/hyperactive) (📥 710 / month · 📦 4 · ⏱️ 04.05.2022):
	```
	pip install hyperactive
	```
</details>
<details><summary><b><a href="https://github.com/nidhaloff/igel">igel</a></b> (🥉19 ·  ⭐ 3K · 💤) - a delightful machine learning tool that allows you to train, test, and use.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/nidhaloff/igel) (👨‍💻 19 · 🔀 160 · 📥 33 · 📋 50 - 12% open · ⏱️ 06.02.2022):

	```
	git clone https://github.com/nidhaloff/igel
	```
- [PyPi](https://pypi.org/project/igel) (📥 150 / month · ⏱️ 19.11.2021):
	```
	pip install igel
	```
</details>
<details><summary><b><a href="https://github.com/ScottfreeLLC/AlphaPy">AlphaPy</a></b> (🥉18 ·  ⭐ 820 · 💤) - Automated Machine Learning [AutoML] with Python, scikit-learn,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (👨‍💻 3 · 🔀 160 · 📦 3 · 📋 41 - 29% open · ⏱️ 23.04.2022):

	```
	git clone https://github.com/ScottfreeLLC/AlphaPy
	```
- [PyPi](https://pypi.org/project/alphapy) (📥 38 / month · ⏱️ 29.08.2020):
	```
	pip install alphapy
	```
</details>
<details><summary><b><a href="https://github.com/gugarosa/opytimizer">opytimizer</a></b> (🥉18 ·  ⭐ 540) - Opytimizer is a Python library consisting of meta-heuristic.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/gugarosa/opytimizer) (👨‍💻 4 · 🔀 33 · 📦 9 · ⏱️ 06.10.2022):

	```
	git clone https://github.com/gugarosa/opytimizer
	```
- [PyPi](https://pypi.org/project/opytimizer) (📥 660 / month · ⏱️ 04.05.2022):
	```
	pip install opytimizer
	```
</details>
<details><summary><b><a href="https://github.com/AutoViML/Auto_ViML">Auto ViML</a></b> (🥉18 ·  ⭐ 380) - Automatically Build Multiple ML Models with a Single Line of Code... <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/AutoViML/Auto_ViML) (👨‍💻 6 · 🔀 81 · 📦 20 · 📋 22 - 18% open · ⏱️ 16.08.2022):

	```
	git clone https://github.com/AutoViML/Auto_ViML
	```
- [PyPi](https://pypi.org/project/autoviml) (📥 310 / month · 📦 2 · ⏱️ 01.06.2022):
	```
	pip install autoviml
	```
</details>
<details><summary><b><a href="https://github.com/cerlymarco/shap-hypetune">shap-hypetune</a></b> (🥉15 ·  ⭐ 400) - A python package for simultaneous Hyperparameters Tuning and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/cerlymarco/shap-hypetune) (👨‍💻 2 · 🔀 50 · 📦 7 · 📋 16 - 6% open · ⏱️ 24.08.2022):

	```
	git clone https://github.com/cerlymarco/shap-hypetune
	```
- [PyPi](https://pypi.org/project/shap-hypetune) (📥 3.4K / month · 📦 1 · ⏱️ 16.01.2022):
	```
	pip install shap-hypetune
	```
</details>
<details><summary><b><a href="https://github.com/google/model_search">model_search</a></b> (🥉11 ·  ⭐ 3.2K · 💤) - AutoML algorithms for model architecture search at scale. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/google/model_search) (👨‍💻 1 · 🔀 360 · 📋 52 - 71% open · ⏱️ 09.02.2022):

	```
	git clone https://github.com/google/model_search
	```
</details>
<details><summary>Show 24 hidden projects...</summary>

- <b><a href="https://github.com/EpistasisLab/tpot">TPOT</a></b> (🥈32 ·  ⭐ 8.8K) - A Python Automated Machine Learning tool that optimizes machine.. <code><a href="http://bit.ly/37RvQcA">❗️LGPL-3.0</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/scikit-optimize/scikit-optimize">scikit-optimize</a></b> (🥈31 ·  ⭐ 2.5K · 💀) - Sequential model-based optimization with a.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/SheffieldML/GPyOpt">GPyOpt</a></b> (🥈26 ·  ⭐ 840 · 💀) - Gaussian Process Optimization using GPy. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/automl/SMAC3">SMAC3</a></b> (🥈26 ·  ⭐ 760) - SMAC3: A Versatile Bayesian Optimization Package for.. <code><a href="https://tldrlegal.com/search?q=BSD-1-Clause">❗️BSD-1-Clause</a></code>
- <b><a href="https://github.com/Epistimio/orion">Orion</a></b> (🥈26 ·  ⭐ 250) - Asynchronous Distributed Hyperparameter Optimization. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/tensorflow/adanet">AdaNet</a></b> (🥈24 ·  ⭐ 3.4K · 💀) - Fast and flexible AutoML with learning guarantees. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
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- <b><a href="https://github.com/claesenm/optunity">optunity</a></b> (🥉22 ·  ⭐ 400 · 💀) - optimization routines for hyperparameter tuning. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/rsteca/sklearn-deap">sklearn-deap</a></b> (🥉21 ·  ⭐ 700 · 💀) - Use evolutionary algorithms instead of gridsearch in.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/HDI-Project/ATM">Auto Tune Models</a></b> (🥉18 ·  ⭐ 520 · 💀) - Auto Tune Models - A multi-tenant, multi-data system for.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
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- <b><a href="https://github.com/HunterMcGushion/hyperparameter_hunter">HyperparameterHunter</a></b> (🥉16 ·  ⭐ 700 · 💀) - Easy hyperparameter optimization and automatic result.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/carpedm20/ENAS-pytorch">ENAS</a></b> (🥉13 ·  ⭐ 2.6K · 💀) - PyTorch implementation of Efficient Neural Architecture Search via.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/LGE-ARC-AdvancedAI/auptimizer">Auptimizer</a></b> (🥉13 ·  ⭐ 190 · 💀) - An automatic ML model optimization tool. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/joeddav/devol">Devol</a></b> (🥉11 ·  ⭐ 940 · 💀) - Genetic neural architecture search with Keras. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/electricbrainio/hypermax">Hypermax</a></b> (🥉11 ·  ⭐ 100 · 💀) - Better, faster hyper-parameter optimization. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/gdikov/hypertunity">Hypertunity</a></b> (🥉9 ·  ⭐ 120 · 💀) - A toolset for black-box hyperparameter optimisation. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
</details>
<br>

## Reinforcement Learning

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for building and evaluating reinforcement learning & agent-based systems._

<details><summary><b><a href="https://github.com/openai/gym">OpenAI Gym</a></b> (🥇42 ·  ⭐ 29K) - A toolkit for developing and comparing reinforcement learning.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/openai/gym) (👨‍💻 380 · 🔀 8K · 📦 34K · 📋 1.7K - 1% open · ⏱️ 25.10.2022):

	```
	git clone https://github.com/openai/gym
	```
- [PyPi](https://pypi.org/project/gym) (📥 940K / month · 📦 2.5K · ⏱️ 07.06.2022):
	```
	pip install gym
	```
- [Conda](https://anaconda.org/conda-forge/gym) (📥 160K · ⏱️ 10.07.2022):
	```
	conda install -c conda-forge gym
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/agents">TF-Agents</a></b> (🥇34 ·  ⭐ 2.4K · 📈) - TF-Agents: A reliable, scalable and easy to use.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/agents) (👨‍💻 130 · 🔀 660 · 📦 940 · 📋 590 - 25% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/tensorflow/agents
	```
- [PyPi](https://pypi.org/project/tf-agents) (📥 150K / month · 📦 14 · ⏱️ 04.06.2022):
	```
	pip install tf-agents
	```
</details>
<details><summary><b><a href="https://github.com/google/dopamine">Dopamine</a></b> (🥇29 ·  ⭐ 9.9K) - Dopamine is a research framework for fast prototyping of.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/google/dopamine) (👨‍💻 15 · 🔀 1.3K · 📋 170 - 50% open · ⏱️ 20.09.2022):

	```
	git clone https://github.com/google/dopamine
	```
- [PyPi](https://pypi.org/project/dopamine-rl) (📥 35K / month · 📦 37 · ⏱️ 20.05.2022):
	```
	pip install dopamine-rl
	```
</details>
<details><summary><b><a href="https://github.com/AI4Finance-Foundation/FinRL">FinRL</a></b> (🥇29 ·  ⭐ 6.3K) - FinRL: Financial Reinforcement Learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (👨‍💻 79 · 🔀 1.5K · 📦 17 · 📋 470 - 17% open · ⏱️ 06.11.2022):

	```
	git clone https://github.com/AI4Finance-Foundation/FinRL
	```
- [PyPi](https://pypi.org/project/finrl) (📥 380 / month · ⏱️ 08.01.2022):
	```
	pip install finrl
	```
</details>
<details><summary><b><a href="https://github.com/deepmind/acme">Acme</a></b> (🥇29 ·  ⭐ 2.9K) - A library of reinforcement learning components and agents. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/deepmind/acme) (👨‍💻 80 · 🔀 360 · 📦 110 · 📋 230 - 16% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/deepmind/acme
	```
- [PyPi](https://pypi.org/project/dm-acme) (📥 3.5K / month · 📦 2 · ⏱️ 10.02.2022):
	```
	pip install dm-acme
	```
- [Conda](https://anaconda.org/conda-forge/dm-acme) (📥 4.7K · ⏱️ 09.12.2021):
	```
	conda install -c conda-forge dm-acme
	```
</details>
<details><summary><b><a href="https://github.com/tensorlayer/TensorLayer">TensorLayer</a></b> (🥈27 ·  ⭐ 7.1K · 💤) - Deep Learning and Reinforcement Learning Library for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorlayer/TensorLayer) (👨‍💻 130 · 🔀 1.6K · 📥 1.4K · 📋 470 - 6% open · ⏱️ 23.04.2022):

	```
	git clone https://github.com/tensorlayer/tensorlayer
	```
- [PyPi](https://pypi.org/project/tensorlayer) (📥 1.8K / month · 📦 40 · ⏱️ 15.02.2022):
	```
	pip install tensorlayer
	```
</details>
<details><summary><b><a href="https://github.com/Farama-Foundation/ViZDoom">ViZDoom</a></b> (🥈27 ·  ⭐ 1.4K) - Doom-based AI Research Platform for Reinforcement Learning from Raw.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (👨‍💻 50 · 🔀 340 · 📥 12K · 📦 160 · 📋 440 - 20% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/mwydmuch/ViZDoom
	```
- [PyPi](https://pypi.org/project/vizdoom) (📥 650 / month · 📦 14 · ⏱️ 18.04.2022):
	```
	pip install vizdoom
	```
</details>
<details><summary><b><a href="https://github.com/PaddlePaddle/PARL">PARL</a></b> (🥉26 ·  ⭐ 2.8K) - A high-performance distributed training framework for Reinforcement.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/PaddlePaddle/PARL) (👨‍💻 34 · 🔀 750 · 📦 98 · 📋 440 - 18% open · ⏱️ 14.10.2022):

	```
	git clone https://github.com/PaddlePaddle/PARL
	```
- [PyPi](https://pypi.org/project/parl) (📥 660 / month · 📦 1 · ⏱️ 13.05.2022):
	```
	pip install parl
	```
</details>
<details><summary><b><a href="https://github.com/rlworkgroup/garage">garage</a></b> (🥉25 ·  ⭐ 1.6K) - A toolkit for reproducible reinforcement learning research. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/rlworkgroup/garage) (👨‍💻 78 · 🔀 270 · 📦 58 · 📋 1K - 20% open · ⏱️ 20.05.2022):

	```
	git clone https://github.com/rlworkgroup/garage
	```
- [PyPi](https://pypi.org/project/garage) (📥 470 / month · 📦 2 · ⏱️ 23.03.2021):
	```
	pip install garage
	```
</details>
<details><summary><b><a href="https://github.com/hill-a/stable-baselines">Stable Baselines</a></b> (🥉24 ·  ⭐ 3.7K) - A fork of OpenAI Baselines, implementations of reinforcement.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/hill-a/stable-baselines) (👨‍💻 110 · 🔀 700 · 📋 940 - 12% open · ⏱️ 04.09.2022):

	```
	git clone https://github.com/hill-a/stable-baselines
	```
- [PyPi](https://pypi.org/project/stable-baselines) (📥 7K / month · 📦 34 · ⏱️ 06.04.2021):
	```
	pip install stable-baselines
	```
</details>
<details><summary><b><a href="https://github.com/deepmind/rlax">RLax</a></b> (🥉23 ·  ⭐ 940) - A library of reinforcement learning building blocks in JAX. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/deepmind/rlax) (👨‍💻 20 · 🔀 67 · 📦 82 · 📋 28 - 46% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/deepmind/rlax
	```
- [PyPi](https://pypi.org/project/rlax) (📥 3.7K / month · 📦 2 · ⏱️ 24.02.2022):
	```
	pip install rlax
	```
</details>
<details><summary><b><a href="https://github.com/tensorforce/tensorforce">TensorForce</a></b> (🥉22 ·  ⭐ 3.2K · 💤) - Tensorforce: a TensorFlow library for applied.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorforce/tensorforce) (👨‍💻 82 · 🔀 520 · 📋 650 - 4% open · ⏱️ 10.02.2022):

	```
	git clone https://github.com/tensorforce/tensorforce
	```
- [PyPi](https://pypi.org/project/tensorforce) (📥 990 / month · ⏱️ 30.08.2021):
	```
	pip install tensorforce
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/ReAgent">ReAgent</a></b> (🥉21 ·  ⭐ 3.3K) - A platform for Reasoning systems (Reinforcement Learning,.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/ReAgent) (👨‍💻 150 · 🔀 470 · 📋 140 - 47% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/facebookresearch/ReAgent
	```
- [PyPi](https://pypi.org/project/reagent) (📥 9 / month · ⏱️ 27.05.2020):
	```
	pip install reagent
	```
</details>
<details><summary><b><a href="https://github.com/IntelLabs/coach">Coach</a></b> (🥉21 ·  ⭐ 2.2K) - Reinforcement Learning Coach by Intel AI Lab enables easy.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/IntelLabs/coach) (👨‍💻 35 · 🔀 430 · 📋 270 - 32% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/IntelLabs/coach
	```
- [PyPi](https://pypi.org/project/rl_coach) (📥 170 / month · 📦 2 · ⏱️ 10.10.2019):
	```
	pip install rl_coach
	```
</details>
<details><summary><b><a href="https://github.com/pfnet/pfrl">PFRL</a></b> (🥉20 ·  ⭐ 940) - PFRL: a PyTorch-based deep reinforcement learning library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/pfnet/pfrl) (👨‍💻 17 · 🔀 120 · 📦 62 · 📋 67 - 40% open · ⏱️ 21.09.2022):

	```
	git clone https://github.com/pfnet/pfrl
	```
- [PyPi](https://pypi.org/project/pfrl) (📥 380 / month · 📦 1 · ⏱️ 07.07.2021):
	```
	pip install pfrl
	```
</details>
<details><summary><b><a href="https://github.com/google-research/rliable">rliable</a></b> (🥉13 ·  ⭐ 510) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/google-research/rliable) (👨‍💻 5 · 🔀 32 · 📦 25 · ⏱️ 14.09.2022):

	```
	git clone https://github.com/google-research/rliable
	```
- [PyPi](https://pypi.org/project/rliable`):
	```
	pip install rliable`
	```
</details>
<details><summary>Show 7 hidden projects...</summary>

- <b><a href="https://github.com/openai/baselines">baselines</a></b> (🥇29 ·  ⭐ 13K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/keras-rl/keras-rl">keras-rl</a></b> (🥈28 ·  ⭐ 5.3K · 💀) - Deep Reinforcement Learning for Keras. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/chainer/chainerrl">ChainerRL</a></b> (🥉23 ·  ⭐ 1.1K · 💀) - ChainerRL is a deep reinforcement learning library built on top of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/deepmind/trfl">TRFL</a></b> (🥉22 ·  ⭐ 3.1K · 💀) - TensorFlow Reinforcement Learning. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/SerpentAI/SerpentAI">SerpentAI</a></b> (🥉19 ·  ⭐ 6.4K · 💀) - Game Agent Framework. Helping you create AIs / Bots that learn to.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/deepmind/lab">DeepMind Lab</a></b> (🥉17 ·  ⭐ 6.8K) - A customisable 3D platform for agent-based AI research. <code>❗Unlicensed</code>
- <b><a href="https://github.com/enlite-ai/maze">Maze</a></b> (🥉12 ·  ⭐ 220 · 💤) - Maze Applied Reinforcement Learning Framework. <code><a href="https://tldrlegal.com/search?q=Custom">❗️Custom</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
</details>
<br>

## Recommender Systems

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for building and evaluating recommendation systems._

<details><summary><b><a href="https://github.com/microsoft/recommenders">Recommenders</a></b> (🥇35 ·  ⭐ 14K) - Best Practices on Recommendation Systems. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/microsoft/recommenders) (👨‍💻 120 · 🔀 2.5K · 📥 280 · 📦 43 · 📋 720 - 19% open · ⏱️ 31.10.2022):

	```
	git clone https://github.com/microsoft/recommenders
	```
- [PyPi](https://pypi.org/project/recommenders) (📥 35K / month · 📦 2 · ⏱️ 01.04.2022):
	```
	pip install recommenders
	```
</details>
<details><summary><b><a href="https://github.com/NicolasHug/Surprise">scikit-surprise</a></b> (🥇31 ·  ⭐ 5.6K) - A Python scikit for building and analyzing recommender.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/NicolasHug/Surprise) (👨‍💻 44 · 🔀 960 · 📋 370 - 17% open · ⏱️ 31.10.2022):

	```
	git clone https://github.com/NicolasHug/Surprise
	```
- [PyPi](https://pypi.org/project/scikit-surprise) (📥 120K / month · 📦 49 · ⏱️ 19.07.2020):
	```
	pip install scikit-surprise
	```
- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (📥 270K · ⏱️ 31.10.2022):
	```
	conda install -c conda-forge scikit-surprise
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/recommenders">TF Recommenders</a></b> (🥇31 ·  ⭐ 1.5K) - TensorFlow Recommenders is a library for building.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/recommenders) (👨‍💻 39 · 🔀 220 · 📦 150 · 📋 330 - 54% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/tensorflow/recommenders
	```
- [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 700K / month · 📦 1 · ⏱️ 23.08.2021):
	```
	pip install tensorflow-recommenders
	```
</details>
<details><summary><b><a href="https://github.com/benfred/implicit">implicit</a></b> (🥈30 ·  ⭐ 3K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/benfred/implicit) (👨‍💻 32 · 🔀 560 · 📥 180 · 📦 700 · 📋 440 - 17% open · ⏱️ 27.09.2022):

	```
	git clone https://github.com/benfred/implicit
	```
- [PyPi](https://pypi.org/project/implicit) (📥 140K / month · 📦 32 · ⏱️ 29.01.2022):
	```
	pip install implicit
	```
- [Conda](https://anaconda.org/conda-forge/implicit) (📥 420K · ⏱️ 29.01.2022):
	```
	conda install -c conda-forge implicit
	```
</details>
<details><summary><b><a href="https://github.com/lyst/lightfm">lightfm</a></b> (🥈29 ·  ⭐ 4.2K) - A Python implementation of LightFM, a hybrid recommendation algorithm. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/lyst/lightfm) (👨‍💻 44 · 🔀 650 · 📦 840 · 📋 470 - 25% open · ⏱️ 19.07.2022):

	```
	git clone https://github.com/lyst/lightfm
	```
- [PyPi](https://pypi.org/project/lightfm) (📥 370K / month · 📦 45 · ⏱️ 27.11.2020):
	```
	pip install lightfm
	```
- [Conda](https://anaconda.org/conda-forge/lightfm) (📥 130K · ⏱️ 09.03.2022):
	```
	conda install -c conda-forge lightfm
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/ranking">TF Ranking</a></b> (🥈29 ·  ⭐ 2.6K) - Learning to Rank in TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/ranking) (👨‍💻 29 · 🔀 440 · 📋 310 - 23% open · ⏱️ 26.10.2022):

	```
	git clone https://github.com/tensorflow/ranking
	```
- [PyPi](https://pypi.org/project/tensorflow_ranking) (📥 92K / month · 📦 12 · ⏱️ 16.11.2021):
	```
	pip install tensorflow_ranking
	```
</details>
<details><summary><b><a href="https://github.com/RUCAIBox/RecBole">RecBole</a></b> (🥈28 ·  ⭐ 2.2K) - A unified, comprehensive and efficient recommendation library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/RUCAIBox/RecBole) (👨‍💻 52 · 🔀 410 · 📋 520 - 15% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/RUCAIBox/RecBole
	```
- [PyPi](https://pypi.org/project/recbole) (📥 2.5K / month · 📦 1 · ⏱️ 25.02.2022):
	```
	pip install recbole
	```
- [Conda](https://anaconda.org/aibox/recbole) (📥 2.3K · ⏱️ 05.10.2022):
	```
	conda install -c aibox recbole
	```
</details>
<details><summary><b><a href="https://github.com/pytorch/torchrec">torchrec</a></b> (🥉24 ·  ⭐ 1.2K) - Pytorch domain library for recommendation systems. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/pytorch/torchrec) (👨‍💻 120 · 🔀 180 · 📋 120 - 58% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/pytorch/torchrec
	```
- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (📥 260 / month · ⏱️ 12.05.2022):
	```
	pip install torchrec-nightly-cpu
	```
</details>
<details><summary><b><a href="https://github.com/PreferredAI/cornac">Cornac</a></b> (🥉23 ·  ⭐ 660) - A Comparative Framework for Multimodal Recommender Systems. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/PreferredAI/cornac) (👨‍💻 15 · 🔀 110 · 📦 130 · 📋 120 - 9% open · ⏱️ 18.10.2022):

	```
	git clone https://github.com/PreferredAI/cornac
	```
- [PyPi](https://pypi.org/project/cornac) (📥 42K / month · 📦 15 · ⏱️ 19.02.2022):
	```
	pip install cornac
	```
- [Conda](https://anaconda.org/conda-forge/cornac) (📥 250K · ⏱️ 30.08.2022):
	```
	conda install -c conda-forge cornac
	```
</details>
<details><summary><b><a href="https://github.com/statisticianinstilettos/recmetrics">recmetrics</a></b> (🥉18 ·  ⭐ 440 · 💤) - A library of metrics for evaluating recommender systems. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (👨‍💻 16 · 🔀 86 · 📦 31 · 📋 21 - 42% open · ⏱️ 17.04.2022):

	```
	git clone https://github.com/statisticianinstilettos/recmetrics
	```
- [PyPi](https://pypi.org/project/recmetrics) (📥 5.2K / month · ⏱️ 26.04.2022):
	```
	pip install recmetrics
	```
</details>
<details><summary><b><a href="https://github.com/caserec/CaseRecommender">Case Recommender</a></b> (🥉17 ·  ⭐ 430 · 💤) - Case Recommender: A Flexible and Extensible Python.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/caserec/CaseRecommender) (👨‍💻 11 · 🔀 79 · 📦 10 · 📋 27 - 25% open · ⏱️ 25.11.2021):

	```
	git clone https://github.com/caserec/CaseRecommender
	```
- [PyPi](https://pypi.org/project/caserecommender) (📥 100 / month · ⏱️ 25.11.2021):
	```
	pip install caserecommender
	```
</details>
<details><summary>Show 6 hidden projects...</summary>

- <b><a href="https://github.com/jfkirk/tensorrec">tensorrec</a></b> (🥉22 ·  ⭐ 1.2K · 💀) - A TensorFlow recommendation algorithm and framework in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/ibayer/fastFM">fastFM</a></b> (🥉21 ·  ⭐ 1K · 💀) - fastFM: A Library for Factorization Machines. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/lenskit/lkpy">lkpy</a></b> (🥉20 ·  ⭐ 220) - Python recommendation toolkit. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/maciejkula/spotlight">Spotlight</a></b> (🥉18 ·  ⭐ 2.8K · 💀) - Deep recommender models using PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/ShopRunner/collie">Collie</a></b> (🥉18 ·  ⭐ 94) - A library for preparing, training, and evaluating scalable deep.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/ylongqi/openrec">OpenRec</a></b> (🥉14 ·  ⭐ 400 · 💀) - OpenRec is an open-source and modular library for neural network-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
</details>
<br>

## Privacy Machine Learning

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._

<details><summary><b><a href="https://github.com/OpenMined/PySyft">PySyft</a></b> (🥇36 ·  ⭐ 8.4K) - Data science on data without acquiring a copy. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/OpenMined/PySyft) (👨‍💻 480 · 🔀 1.9K · 📋 3.3K - 5% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/OpenMined/PySyft
	```
- [PyPi](https://pypi.org/project/syft) (📥 4.8K / month · 📦 5 · ⏱️ 29.06.2022):
	```
	pip install syft
	```
</details>
<details><summary><b><a href="https://github.com/pytorch/opacus">Opacus</a></b> (🥈29 ·  ⭐ 1.3K) - Training PyTorch models with differential privacy. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pytorch/opacus) (👨‍💻 63 · 🔀 240 · 📥 51 · 📦 160 · 📋 220 - 22% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/pytorch/opacus
	```
- [PyPi](https://pypi.org/project/opacus) (📥 10K / month · 📦 11 · ⏱️ 06.05.2022):
	```
	pip install opacus
	```
- [Conda](https://anaconda.org/conda-forge/opacus) (📥 5.4K · ⏱️ 09.09.2022):
	```
	conda install -c conda-forge opacus
	```
</details>
<details><summary><b><a href="https://github.com/FederatedAI/FATE">FATE</a></b> (🥈26 ·  ⭐ 4.7K) - An Industrial Grade Federated Learning Framework. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/FederatedAI/FATE) (👨‍💻 82 · 🔀 1.4K · 📋 1.4K - 37% open · ⏱️ 19.10.2022):

	```
	git clone https://github.com/FederatedAI/FATE
	```
- [PyPi](https://pypi.org/project/ETAF) (📥 2 / month · ⏱️ 06.05.2020):
	```
	pip install ETAF
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/privacy">TensorFlow Privacy</a></b> (🥈26 ·  ⭐ 1.7K) - Library for training machine learning models with.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/privacy) (👨‍💻 50 · 🔀 380 · 📥 87 · 📋 180 - 50% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/tensorflow/privacy
	```
- [PyPi](https://pypi.org/project/tensorflow-privacy) (📥 35K / month · 📦 7 · ⏱️ 22.02.2022):
	```
	pip install tensorflow-privacy
	```
</details>
<details><summary><b><a href="https://github.com/tf-encrypted/tf-encrypted">TFEncrypted</a></b> (🥉24 ·  ⭐ 1.1K) - A Framework for Encrypted Machine Learning in TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (👨‍💻 28 · 🔀 190 · 📦 63 · 📋 440 - 38% open · ⏱️ 30.08.2022):

	```
	git clone https://github.com/tf-encrypted/tf-encrypted
	```
- [PyPi](https://pypi.org/project/tf-encrypted) (📥 740 / month · 📦 9 · ⏱️ 07.03.2022):
	```
	pip install tf-encrypted
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/CrypTen">CrypTen</a></b> (🥉23 ·  ⭐ 1.2K) - A framework for Privacy Preserving Machine Learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/CrypTen) (👨‍💻 29 · 🔀 190 · 📦 22 · 📋 180 - 16% open · ⏱️ 10.06.2022):

	```
	git clone https://github.com/facebookresearch/CrypTen
	```
- [PyPi](https://pypi.org/project/crypten) (📥 130 / month · ⏱️ 09.09.2021):
	```
	pip install crypten
	```
</details>
<details><summary>Show 1 hidden projects...</summary>

- <b><a href="https://github.com/OpenMined/PipelineDP">PipelineDP</a></b> (🥉22 ·  ⭐ 240) - PipelineDP is a Python framework for applying differentially.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
</details>
<br>

## Workflow & Experiment Tracking

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries to organize, track, and visualize machine learning experiments._

<details><summary><b><a href="https://github.com/tensorflow/tensorboard">Tensorboard</a></b> (🥇43 ·  ⭐ 6K) - TensorFlows Visualization Toolkit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/tensorboard) (👨‍💻 290 · 🔀 1.6K · 📦 130K · 📋 1.7K - 34% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/tensorflow/tensorboard
	```
- [PyPi](https://pypi.org/project/tensorboard) (📥 18M / month · 📦 2.4K · ⏱️ 08.06.2022):
	```
	pip install tensorboard
	```
- [Conda](https://anaconda.org/conda-forge/tensorboard) (📥 3.4M · ⏱️ 09.11.2022):
	```
	conda install -c conda-forge tensorboard
	```
</details>
<details><summary><b><a href="https://github.com/mlflow/mlflow">mlflow</a></b> (🥇41 ·  ⭐ 13K) - Open source platform for the machine learning lifecycle. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/mlflow/mlflow) (👨‍💻 510 · 🔀 3K · 📋 2.7K - 35% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/mlflow/mlflow
	```
- [PyPi](https://pypi.org/project/mlflow) (📥 13M / month · 📦 330 · ⏱️ 29.06.2022):
	```
	pip install mlflow
	```
- [Conda](https://anaconda.org/conda-forge/mlflow) (📥 1M · ⏱️ 21.10.2022):
	```
	conda install -c conda-forge mlflow
	```
</details>
<details><summary><b><a href="https://github.com/iterative/dvc">DVC</a></b> (🥇41 ·  ⭐ 11K) - Data Version Control | Git for Data & Models | ML Experiments Management. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/iterative/dvc) (👨‍💻 280 · 🔀 990 · 📥 130K · 📦 5.3K · 📋 4K - 16% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/iterative/dvc
	```
- [PyPi](https://pypi.org/project/dvc) (📥 1.3M / month · 📦 47 · ⏱️ 05.07.2022):
	```
	pip install dvc
	```
- [Conda](https://anaconda.org/conda-forge/dvc) (📥 1.3M · ⏱️ 04.11.2022):
	```
	conda install -c conda-forge dvc
	```
</details>
<details><summary><b><a href="https://github.com/wandb/wandb">wandb client</a></b> (🥇37 ·  ⭐ 5K) - A tool for visualizing and tracking your machine learning.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/wandb/wandb) (👨‍💻 130 · 🔀 380 · 📦 13K · 📋 2.1K - 26% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/wandb/client
	```
- [PyPi](https://pypi.org/project/wandb) (📥 1.6M / month · 📦 270 · ⏱️ 05.07.2022):
	```
	pip install wandb
	```
- [Conda](https://anaconda.org/conda-forge/wandb) (📥 120K · ⏱️ 04.11.2022):
	```
	conda install -c conda-forge wandb
	```
</details>
<details><summary><b><a href="https://github.com/aws/sagemaker-python-sdk">SageMaker SDK</a></b> (🥇37 ·  ⭐ 1.7K) - A library for training and deploying machine learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨‍💻 290 · 🔀 880 · 📦 1.8K · 📋 1.2K - 37% open · ⏱️ 28.10.2022):

	```
	git clone https://github.com/aws/sagemaker-python-sdk
	```
- [PyPi](https://pypi.org/project/sagemaker) (📥 7.6M / month · 📦 52 · ⏱️ 05.07.2022):
	```
	pip install sagemaker
	```
- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (📥 450K · ⏱️ 03.11.2022):
	```
	conda install -c conda-forge sagemaker-python-sdk
	```
</details>
<details><summary><b><a href="https://github.com/pycaret/pycaret">PyCaret</a></b> (🥈36 ·  ⭐ 6.5K) - An open-source, low-code machine learning library in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/pycaret/pycaret) (👨‍💻 100 · 🔀 1.5K · 📥 620 · 📦 2.7K · 📋 1.8K - 16% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/pycaret/pycaret
	```
- [PyPi](https://pypi.org/project/pycaret) (📥 980K / month · 📦 13 · ⏱️ 06.06.2022):
	```
	pip install pycaret
	```
- [Conda](https://anaconda.org/conda-forge/pycaret) (📥 22K · ⏱️ 18.04.2022):
	```
	conda install -c conda-forge pycaret
	```
</details>
<details><summary><b><a href="https://github.com/Azure/MachineLearningNotebooks">AzureML SDK</a></b> (🥈35 ·  ⭐ 3.5K) - Python notebooks with ML and deep learning examples with Azure.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (👨‍💻 61 · 🔀 2.2K · 📥 480 · 📋 1.4K - 23% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/Azure/MachineLearningNotebooks
	```
- [PyPi](https://pypi.org/project/azureml-sdk) (📥 2.3M / month · 📦 46 · ⏱️ 27.06.2022):
	```
	pip install azureml-sdk
	```
</details>
<details><summary><b><a href="https://github.com/lanpa/tensorboardX">tensorboardX</a></b> (🥈34 ·  ⭐ 7.5K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/lanpa/tensorboardX) (👨‍💻 73 · 🔀 870 · 📥 350 · 📦 23K · 📋 440 - 16% open · ⏱️ 04.09.2022):

	```
	git clone https://github.com/lanpa/tensorboardX
	```
- [PyPi](https://pypi.org/project/tensorboardX) (📥 1.5M / month · 📦 890 · ⏱️ 05.06.2022):
	```
	pip install tensorboardX
	```
- [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 870K · ⏱️ 07.06.2022):
	```
	conda install -c conda-forge tensorboardx
	```
</details>
<details><summary><b><a href="https://github.com/snakemake/snakemake">snakemake</a></b> (🥈34 ·  ⭐ 1.5K) - This is the development home of the workflow management system.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/snakemake/snakemake) (👨‍💻 270 · 🔀 380 · 📦 1.3K · 📋 1.2K - 60% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/snakemake/snakemake
	```
- [PyPi](https://pypi.org/project/snakemake) (📥 68K / month · 📦 210 · ⏱️ 30.06.2022):
	```
	pip install snakemake
	```
- [Conda](https://anaconda.org/bioconda/snakemake) (📥 570K · ⏱️ 03.11.2022):
	```
	conda install -c bioconda snakemake
	```
</details>
<details><summary><b><a href="https://github.com/allegroai/clearml">ClearML</a></b> (🥈33 ·  ⭐ 3.7K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/allegroai/clearml) (👨‍💻 57 · 🔀 500 · 📥 570 · 📦 340 · 📋 650 - 44% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/allegroai/clearml
	```
- [PyPi](https://pypi.org/project/clearml) (📥 79K / month · 📦 8 · ⏱️ 04.07.2022):
	```
	pip install clearml
	```
- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (📥 30K · ⏱️ 05.10.2020):
	```
	docker pull allegroai/trains
	```
</details>
<details><summary><b><a href="https://github.com/Netflix/metaflow">Metaflow</a></b> (🥈32 ·  ⭐ 6.1K) - Build and manage real-life data science projects with ease!. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/Netflix/metaflow) (👨‍💻 57 · 🔀 560 · 📦 340 · 📋 490 - 49% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/Netflix/metaflow
	```
- [PyPi](https://pypi.org/project/metaflow) (📥 63K / month · 📦 9 · ⏱️ 17.06.2022):
	```
	pip install metaflow
	```
- [Conda](https://anaconda.org/conda-forge/metaflow) (📥 82K · ⏱️ 04.11.2022):
	```
	conda install -c conda-forge metaflow
	```
</details>
<details><summary><b><a href="https://github.com/PaddlePaddle/VisualDL">VisualDL</a></b> (🥈31 ·  ⭐ 4.5K) - Deep Learning Visualization Toolkit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨‍💻 32 · 🔀 600 · 📥 230 · 📦 1.5K · 📋 440 - 22% open · ⏱️ 14.09.2022):

	```
	git clone https://github.com/PaddlePaddle/VisualDL
	```
- [PyPi](https://pypi.org/project/visualdl) (📥 67K / month · 📦 25 · ⏱️ 01.07.2022):
	```
	pip install visualdl
	```
</details>
<details><summary><b><a href="https://github.com/aimhubio/aim">aim</a></b> (🥈31 ·  ⭐ 2.9K) - Aim easy-to-use and performant open-source ML experiment tracker. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/aimhubio/aim) (👨‍💻 45 · 🔀 170 · 📦 120 · 📋 730 - 24% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/aimhubio/aim
	```
- [PyPi](https://pypi.org/project/aim) (📥 22K / month · 📦 5 · ⏱️ 07.07.2022):
	```
	pip install aim
	```
- [Conda](https://anaconda.org/conda-forge/aim) (📥 18K · ⏱️ 15.10.2021):
	```
	conda install -c conda-forge aim
	```
</details>
<details><summary><b><a href="https://github.com/IDSIA/sacred">sacred</a></b> (🥈30 ·  ⭐ 3.9K) - Sacred is a tool to help you configure, organize, log and reproduce.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/IDSIA/sacred) (👨‍💻 100 · 🔀 350 · 📦 1.7K · 📋 540 - 16% open · ⏱️ 17.10.2022):

	```
	git clone https://github.com/IDSIA/sacred
	```
- [PyPi](https://pypi.org/project/sacred) (📥 34K / month · 📦 100 · ⏱️ 14.12.2020):
	```
	pip install sacred
	```
- [Conda](https://anaconda.org/conda-forge/sacred) (📥 1.7K · ⏱️ 14.11.2021):
	```
	conda install -c conda-forge sacred
	```
</details>
<details><summary><b><a href="https://github.com/google/ml-metadata">ml-metadata</a></b> (🥈29 ·  ⭐ 500) - For recording and retrieving metadata associated with ML.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/google/ml-metadata) (👨‍💻 15 · 🔀 100 · 📥 1.7K · 📦 260 · 📋 96 - 28% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/google/ml-metadata
	```
- [PyPi](https://pypi.org/project/ml-metadata) (📥 700K / month · 📦 19 · ⏱️ 21.06.2022):
	```
	pip install ml-metadata
	```
</details>
<details><summary><b><a href="https://github.com/neptune-ai/neptune-client">Neptune.ai</a></b> (🥈29 ·  ⭐ 340) - Experiment tracking tool and model registry. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/neptune-ai/neptune-client) (👨‍💻 35 · 🔀 33 · 📋 170 - 11% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/neptune-ai/neptune-client
	```
- [PyPi](https://pypi.org/project/neptune-client) (📥 520K / month · 📦 28 · ⏱️ 01.07.2022):
	```
	pip install neptune-client
	```
- [Conda](https://anaconda.org/conda-forge/neptune-client) (📥 120K · ⏱️ 08.11.2022):
	```
	conda install -c conda-forge neptune-client
	```
</details>
<details><summary><b><a href="https://github.com/catalyst-team/catalyst">Catalyst</a></b> (🥉28 ·  ⭐ 3K · 💤) - Accelerated deep learning R&D. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/catalyst-team/catalyst) (👨‍💻 100 · 🔀 360 · 📦 640 · 📋 340 - 1% open · ⏱️ 29.04.2022):

	```
	git clone https://github.com/catalyst-team/catalyst
	```
- [PyPi](https://pypi.org/project/catalyst) (📥 42K / month · 📦 29 · ⏱️ 29.04.2022):
	```
	pip install catalyst
	```
</details>
<details><summary><b><a href="https://github.com/guildai/guildai">Guild AI</a></b> (🥉28 ·  ⭐ 750) - Experiment tracking, ML developer tools. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/guildai/guildai) (👨‍💻 23 · 🔀 68 · 📥 7 · 📦 60 · 📋 390 - 45% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/guildai/guildai
	```
- [PyPi](https://pypi.org/project/guildai) (📥 2.9K / month · ⏱️ 11.05.2022):
	```
	pip install guildai
	```
</details>
<details><summary><b><a href="https://github.com/pytorch/tnt">TNT</a></b> (🥉26 ·  ⭐ 1.4K) - A lightweight library for PyTorch training tools and utilities. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pytorch/tnt) (👨‍💻 73 · 🔀 220 · 📋 65 - 9% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/pytorch/tnt
	```
- [PyPi](https://pypi.org/project/torchnet) (📥 7.4K / month · 📦 37 · ⏱️ 29.07.2018):
	```
	pip install torchnet
	```
</details>
<details><summary><b><a href="https://github.com/labmlai/labml">Labml</a></b> (🥉25 ·  ⭐ 1.2K) - Monitor deep learning model training and hardware usage from your mobile.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/labmlai/labml) (👨‍💻 7 · 🔀 84 · 📦 55 · 📋 33 - 48% open · ⏱️ 15.09.2022):

	```
	git clone https://github.com/labmlai/labml
	```
- [PyPi](https://pypi.org/project/labml) (📥 1.9K / month · 📦 6 · ⏱️ 05.07.2022):
	```
	pip install labml
	```
</details>
<details><summary><b><a href="https://github.com/stared/livelossplot">livelossplot</a></b> (🥉25 ·  ⭐ 1.2K · 💤) - Live training loss plot in Jupyter Notebook for Keras,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/stared/livelossplot) (👨‍💻 17 · 🔀 140 · 📦 880 · 📋 76 - 7% open · ⏱️ 04.04.2022):

	```
	git clone https://github.com/stared/livelossplot
	```
- [PyPi](https://pypi.org/project/livelossplot) (📥 45K / month · 📦 11 · ⏱️ 04.04.2022):
	```
	pip install livelossplot
	```
</details>
<details><summary><b><a href="https://github.com/instacart/lore">lore</a></b> (🥉19 ·  ⭐ 1.5K) - Lore makes machine learning approachable for Software Engineers and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/instacart/lore) (👨‍💻 27 · 🔀 130 · 📦 20 · 📋 45 - 57% open · ⏱️ 27.09.2022):

	```
	git clone https://github.com/instacart/lore
	```
- [PyPi](https://pypi.org/project/lore) (📥 59 / month · 📦 1 · ⏱️ 02.02.2022):
	```
	pip install lore
	```
</details>
<details><summary><b><a href="https://github.com/replicate/keepsake">keepsake</a></b> (🥉18 ·  ⭐ 1.6K) - Version control for machine learning. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/replicate/keepsake) (👨‍💻 17 · 🔀 65 · 📋 190 - 65% open · ⏱️ 24.05.2022):

	```
	git clone https://github.com/replicate/keepsake
	```
- [PyPi](https://pypi.org/project/keepsake) (📥 220 / month · ⏱️ 11.03.2021):
	```
	pip install keepsake
	```
</details>
<details><summary>Show 16 hidden projects...</summary>

- <b><a href="https://github.com/Kaggle/kaggle-api">kaggle</a></b> (🥈29 ·  ⭐ 5K · 💀) - Official Kaggle API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/huggingface/knockknock">knockknock</a></b> (🥉25 ·  ⭐ 2.5K · 💀) - Knock Knock: Get notified when your training ends with only two.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/EducationalTestingService/skll">SKLL</a></b> (🥉25 ·  ⭐ 530) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. <code><a href="https://tldrlegal.com/search?q=BSD-1-Clause">❗️BSD-1-Clause</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/waleedka/hiddenlayer">hiddenlayer</a></b> (🥉21 ·  ⭐ 1.7K · 💀) - Neural network graphs and training metrics for.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/microsoft/tensorwatch">TensorWatch</a></b> (🥉20 ·  ⭐ 3.3K · 💀) - Debugging, monitoring and visualization for Python Machine.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/TeamHG-Memex/tensorboard_logger">TensorBoard Logger</a></b> (🥉20 ·  ⭐ 620 · 💀) - Log TensorBoard events without touching TensorFlow. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/studioml/studio">Studio.ml</a></b> (🥉20 ·  ⭐ 380 · 💀) - Studio: Simplify and expedite model building process. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/MrPowers/quinn">quinn</a></b> (🥉20 ·  ⭐ 370 · 💀) - pyspark methods to enhance developer productivity. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/m3dev/gokart">gokart</a></b> (🥉20 ·  ⭐ 270) - Gokart solves reproducibility, task dependencies, constraints of good code,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/awslabs/mxboard">MXBoard</a></b> (🥉19 ·  ⭐ 330 · 💀) - Logging MXNet data for visualization in TensorBoard. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/datmo/datmo">datmo</a></b> (🥉16 ·  ⭐ 340 · 💀) - Open source production model management tool for data scientists. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/gradsflow/chitra">chitra</a></b> (🥉16 ·  ⭐ 210) - A multi-functional library for full-stack Deep Learning. Simplifies.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/minerva-ml/steppy">steppy</a></b> (🥉15 ·  ⭐ 130 · 💀) - Lightweight, Python library for fast and reproducible experimentation. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/google/caliban">caliban</a></b> (🥉14 ·  ⭐ 440 · 💀) - Research workflows made easy, locally and in the Cloud. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/ModelChimp/modelchimp">ModelChimp</a></b> (🥉13 ·  ⭐ 120 · 💀) - Experiment tracking for machine and deep learning projects. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code>
- <b><a href="https://github.com/jrieke/traintool">traintool</a></b> (🥉8 ·  ⭐ 10 · 💀) - Train off-the-shelf machine learning models in one.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
</details>
<br>

## Model Serialization & Deployment

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment._

<details><summary><b><a href="https://github.com/onnx/onnx">onnx</a></b> (🥇41 ·  ⭐ 14K) - Open standard for machine learning interoperability. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/onnx/onnx) (👨‍💻 260 · 🔀 3.1K · 📥 18K · 📦 9.2K · 📋 2.2K - 14% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/onnx/onnx
	```
- [PyPi](https://pypi.org/project/onnx) (📥 2.2M / month · 📦 390 · ⏱️ 18.06.2022):
	```
	pip install onnx
	```
- [Conda](https://anaconda.org/conda-forge/onnx) (📥 570K · ⏱️ 28.10.2022):
	```
	conda install -c conda-forge onnx
	```
</details>
<details><summary><b><a href="https://github.com/apple/coremltools">Core ML Tools</a></b> (🥇31 ·  ⭐ 2.9K) - Core ML tools contain supporting tools for Core ML model.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/apple/coremltools) (👨‍💻 140 · 🔀 460 · 📥 4.6K · 📦 1.1K · 📋 1.1K - 20% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/apple/coremltools
	```
- [PyPi](https://pypi.org/project/coremltools) (📥 280K / month · 📦 150 · ⏱️ 07.06.2022):
	```
	pip install coremltools
	```
- [Conda](https://anaconda.org/conda-forge/coremltools) (📥 40K · ⏱️ 15.10.2021):
	```
	conda install -c conda-forge coremltools
	```
</details>
<details><summary><b><a href="https://github.com/huggingface/huggingface_hub">huggingface_hub</a></b> (🥇31 ·  ⭐ 590) - All the open source things related to the Hugging Face Hub. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/huggingface/huggingface_hub) (👨‍💻 75 · 🔀 140 · 📋 360 - 25% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/huggingface/huggingface_hub
	```
- [PyPi](https://pypi.org/project/huggingface_hub) (📥 7.1M / month · 📦 87 · ⏱️ 21.06.2022):
	```
	pip install huggingface_hub
	```
- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (📥 500K · ⏱️ 11.10.2022):
	```
	conda install -c conda-forge huggingface_hub
	```
</details>
<details><summary><b><a href="https://github.com/openai/triton">triton</a></b> (🥈30 ·  ⭐ 4.2K) - Development repository for the Triton language and compiler. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/openai/triton) (👨‍💻 64 · 🔀 360 · 📦 160 · 📋 320 - 40% open · ⏱️ 05.11.2022):

	```
	git clone https://github.com/openai/triton
	```
- [PyPi](https://pypi.org/project/triton) (📥 220K / month · 📦 3 · ⏱️ 04.07.2022):
	```
	pip install triton
	```
</details>
<details><summary><b><a href="https://github.com/bentoml/BentoML">BentoML</a></b> (🥈30 ·  ⭐ 4.2K) - Unified Model Serving Framework. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/bentoml/BentoML) (👨‍💻 140 · 🔀 480 · 📥 1.6K · 📋 750 - 13% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/bentoml/BentoML
	```
- [PyPi](https://pypi.org/project/bentoml) (📥 27K / month · 📦 3 · ⏱️ 01.07.2022):
	```
	pip install bentoml
	```
</details>
<details><summary><b><a href="https://github.com/microsoft/hummingbird">Hummingbird</a></b> (🥈29 ·  ⭐ 3K) - Hummingbird compiles trained ML models into tensor computation for.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/microsoft/hummingbird) (👨‍💻 35 · 🔀 250 · 📥 190 · 📦 45 · 📋 260 - 16% open · ⏱️ 04.11.2022):

	```
	git clone https://github.com/microsoft/hummingbird
	```
- [PyPi](https://pypi.org/project/hummingbird-ml) (📥 18K / month · ⏱️ 25.04.2022):
	```
	pip install hummingbird-ml
	```
- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (📥 17K · ⏱️ 05.08.2022):
	```
	conda install -c conda-forge hummingbird-ml
	```
</details>
<details><summary><b><a href="https://github.com/pytorch/serve">TorchServe</a></b> (🥈28 ·  ⭐ 3K) - Serve, optimize and scale PyTorch models in production. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pytorch/serve) (👨‍💻 140 · 🔀 640 · 📥 2.2K · 📋 1.1K - 17% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/pytorch/serve
	```
- [PyPi](https://pypi.org/project/torchserve) (📥 18K / month · 📦 9 · ⏱️ 13.05.2022):
	```
	pip install torchserve
	```
- [Conda](https://anaconda.org/pytorch/torchserve) (📥 47K · ⏱️ 13.05.2022):
	```
	conda install -c pytorch torchserve
	```
- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (📥 1M · ⭐ 16 · ⏱️ 19.07.2022):
	```
	docker pull pytorch/torchserve
	```
</details>
<details><summary><b><a href="https://github.com/cortexlabs/cortex">cortex</a></b> (🥈25 ·  ⭐ 7.8K) - Production infrastructure for machine learning at scale. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/cortexlabs/cortex) (👨‍💻 24 · 🔀 600 · 📋 1.1K - 10% open · ⏱️ 23.09.2022):

	```
	git clone https://github.com/cortexlabs/cortex
	```
- [PyPi](https://pypi.org/project/cortex) (📥 2K / month · 📦 1 · ⏱️ 10.01.2022):
	```
	pip install cortex
	```
</details>
<details><summary><b><a href="https://github.com/microsoft/MMdnn">mmdnn</a></b> (🥈25 ·  ⭐ 5.6K) - MMdnn is a set of tools to help users inter-operate among different deep.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/microsoft/MMdnn) (👨‍💻 86 · 🔀 970 · 📥 3.6K · 📦 94 · 📋 620 - 53% open · ⏱️ 22.09.2022):

	```
	git clone https://github.com/Microsoft/MMdnn
	```
- [PyPi](https://pypi.org/project/mmdnn) (📥 410 / month · 📦 3 · ⏱️ 24.07.2020):
	```
	pip install mmdnn
	```
</details>
<details><summary><b><a href="https://github.com/BayesWitnesses/m2cgen">m2cgen</a></b> (🥈25 ·  ⭐ 2.3K) - Transform ML models into a native code (Java, C, Python, Go, JavaScript,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/BayesWitnesses/m2cgen) (👨‍💻 14 · 🔀 200 · 📥 41 · 📦 75 · 📋 100 - 30% open · ⏱️ 05.10.2022):

	```
	git clone https://github.com/BayesWitnesses/m2cgen
	```
- [PyPi](https://pypi.org/project/m2cgen) (📥 32K / month · 📦 3 · ⏱️ 26.04.2022):
	```
	pip install m2cgen
	```
</details>
<details><summary><b><a href="https://github.com/fastmachinelearning/hls4ml">hls4ml</a></b> (🥉24 ·  ⭐ 720) - Machine learning on FPGAs using HLS. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/fastmachinelearning/hls4ml) (👨‍💻 47 · 🔀 270 · 📋 340 - 42% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/fastmachinelearning/hls4ml
	```
- [PyPi](https://pypi.org/project/hls4ml) (📥 710 / month · ⏱️ 12.11.2021):
	```
	pip install hls4ml
	```
- [Conda](https://anaconda.org/conda-forge/hls4ml) (📥 4.5K · ⏱️ 12.11.2021):
	```
	conda install -c conda-forge hls4ml
	```
</details>
<details><summary><b><a href="https://github.com/nok/sklearn-porter">sklearn-porter</a></b> (🥉23 ·  ⭐ 1.2K) - Transpile trained scikit-learn estimators to C, Java,.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/nok/sklearn-porter) (👨‍💻 12 · 🔀 160 · 📦 45 · 📋 76 - 55% open · ⏱️ 22.05.2022):

	```
	git clone https://github.com/nok/sklearn-porter
	```
- [PyPi](https://pypi.org/project/sklearn-porter) (📥 410 / month · 📦 1 · ⏱️ 18.12.2019):
	```
	pip install sklearn-porter
	```
</details>
<details><summary><b><a href="https://github.com/nebuly-ai/nebullvm">nebullvm</a></b> (🥉20 ·  ⭐ 1.4K) - Accelerate AI models inference leveraging best-of-breed.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/nebuly-ai/nebullvm) (👨‍💻 11 · 🔀 65 · 📦 3 · 📋 72 - 40% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/nebuly-ai/nebullvm
	```
- [PyPi](https://pypi.org/project/nebullvm) (📥 500 / month · ⏱️ 28.06.2022):
	```
	pip install nebullvm
	```
</details>
<details><summary>Show 7 hidden projects...</summary>

- <b><a href="https://github.com/larq/compute-engine">Larq Compute Engine</a></b> (🥉21 ·  ⭐ 210) - Highly optimized inference engine for Binarized.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/cog-imperial/OMLT">OMLT</a></b> (🥉20 ·  ⭐ 170) - Represent trained machine learning models as Pyomo optimization formulations. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/gmalivenko/pytorch2keras">pytorch2keras</a></b> (🥉19 ·  ⭐ 820 · 💀) - PyTorch to Keras model convertor. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/riga/tfdeploy">tfdeploy</a></b> (🥉15 ·  ⭐ 350 · 💀) - Deploy tensorflow graphs for fast evaluation and export to.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/Cornerstone-OnDemand/modelkit">modelkit</a></b> (🥉15 ·  ⭐ 140) - Toolkit for developing and maintaining ML models. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/backprop-ai/backprop">backprop</a></b> (🥉13 ·  ⭐ 230 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/apple/ml-ane-transformers">ml-ane-transformers</a></b> (🥉10 ·  ⭐ 480 · 🐣) - Reference implementation of the Transformer.. <code>❗Unlicensed</code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
</details>
<br>

## Model Interpretability

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries to visualize, explain, debug, evaluate, and interpret machine learning models._

<details><summary><b><a href="https://github.com/slundberg/shap">shap</a></b> (🥇39 ·  ⭐ 18K) - A game theoretic approach to explain the output of any machine learning model. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/slundberg/shap) (👨‍💻 200 · 🔀 2.6K · 📦 7.2K · 📋 2.1K - 70% open · ⏱️ 16.06.2022):

	```
	git clone https://github.com/slundberg/shap
	```
- [PyPi](https://pypi.org/project/shap) (📥 3.8M / month · 📦 280 · ⏱️ 16.06.2022):
	```
	pip install shap
	```
- [Conda](https://anaconda.org/conda-forge/shap) (📥 1.6M · ⏱️ 20.06.2022):
	```
	conda install -c conda-forge shap
	```
</details>
<details><summary><b><a href="https://github.com/lutzroeder/netron">Netron</a></b> (🥇34 ·  ⭐ 20K) - Visualizer for neural network, deep learning, and machine.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/lutzroeder/netron) (👨‍💻 2 · 🔀 2.3K · 📥 65K · 📦 8 · 📋 880 - 3% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/lutzroeder/netron
	```
- [PyPi](https://pypi.org/project/netron) (📥 10K / month · 📦 67 · ⏱️ 04.07.2022):
	```
	pip install netron
	```
</details>
<details><summary><b><a href="https://github.com/arviz-devs/arviz">arviz</a></b> (🥇34 ·  ⭐ 1.3K) - Exploratory analysis of Bayesian models with Python. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/arviz-devs/arviz) (👨‍💻 130 · 🔀 310 · 📥 110 · 📦 3K · 📋 790 - 22% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/arviz-devs/arviz
	```
- [PyPi](https://pypi.org/project/arviz) (📥 730K / month · 📦 100 · ⏱️ 13.05.2022):
	```
	pip install arviz
	```
- [Conda](https://anaconda.org/conda-forge/arviz) (📥 960K · ⏱️ 09.11.2022):
	```
	conda install -c conda-forge arviz
	```
</details>
<details><summary><b><a href="https://github.com/interpretml/interpret">InterpretML</a></b> (🥇32 ·  ⭐ 5.1K) - Fit interpretable models. Explain blackbox machine learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/interpretml/interpret) (👨‍💻 31 · 🔀 620 · 📦 300 · 📋 320 - 34% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/interpretml/interpret
	```
- [PyPi](https://pypi.org/project/interpret) (📥 110K / month · 📦 16 · ⏱️ 23.09.2021):
	```
	pip install interpret
	```
</details>
<details><summary><b><a href="https://github.com/pytorch/captum">Captum</a></b> (🥇31 ·  ⭐ 3.6K) - Model interpretability and understanding for PyTorch. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pytorch/captum) (👨‍💻 94 · 🔀 370 · 📦 760 · 📋 420 - 30% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/pytorch/captum
	```
- [PyPi](https://pypi.org/project/captum) (📥 99K / month · 📦 23 · ⏱️ 03.03.2022):
	```
	pip install captum
	```
- [Conda](https://anaconda.org/conda-forge/captum) (📥 4K · ⏱️ 04.03.2022):
	```
	conda install -c conda-forge captum
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/model-analysis">Model Analysis</a></b> (🥇31 ·  ⭐ 1.2K) - Model analysis tools for TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/model-analysis) (👨‍💻 52 · 🔀 260 · 📋 78 - 35% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/tensorflow/model-analysis
	```
- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 870K / month · 📦 21 · ⏱️ 16.05.2022):
	```
	pip install tensorflow-model-analysis
	```
</details>
<details><summary><b><a href="https://github.com/parrt/dtreeviz">dtreeviz</a></b> (🥈30 ·  ⭐ 2.3K) - A python library for decision tree visualization and model interpretation. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/parrt/dtreeviz) (👨‍💻 21 · 🔀 280 · 📦 530 · 📋 130 - 23% open · ⏱️ 29.10.2022):

	```
	git clone https://github.com/parrt/dtreeviz
	```
- [PyPi](https://pypi.org/project/dtreeviz) (📥 88K / month · 📦 14 · ⏱️ 29.04.2022):
	```
	pip install dtreeviz
	```
- [Conda](https://anaconda.org/conda-forge/dtreeviz) (📥 27K · ⏱️ 05.11.2022):
	```
	conda install -c conda-forge dtreeviz
	```
</details>
<details><summary><b><a href="https://github.com/MAIF/shapash">shapash</a></b> (🥈30 ·  ⭐ 2K) - Shapash makes Machine Learning models transparent and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/MAIF/shapash) (👨‍💻 35 · 🔀 250 · 📦 91 · 📋 130 - 12% open · ⏱️ 26.10.2022):

	```
	git clone https://github.com/MAIF/shapash
	```
- [PyPi](https://pypi.org/project/shapash) (📥 13K / month · 📦 1 · ⏱️ 09.05.2022):
	```
	pip install shapash
	```
</details>
<details><summary><b><a href="https://github.com/SeldonIO/alibi">Alibi</a></b> (🥈30 ·  ⭐ 1.8K) - Algorithms for explaining machine learning models. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/SeldonIO/alibi) (👨‍💻 18 · 🔀 200 · 📦 210 · 📋 320 - 38% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/SeldonIO/alibi
	```
- [PyPi](https://pypi.org/project/alibi) (📥 29K / month · 📦 24 · ⏱️ 18.05.2022):
	```
	pip install alibi
	```
</details>
<details><summary><b><a href="https://github.com/fairlearn/fairlearn">fairlearn</a></b> (🥈29 ·  ⭐ 1.4K) - A Python package to assess and improve fairness of machine.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/fairlearn/fairlearn) (👨‍💻 68 · 🔀 330 · 📋 390 - 42% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/fairlearn/fairlearn
	```
- [PyPi](https://pypi.org/project/fairlearn) (📥 88K / month · 📦 13 · ⏱️ 07.07.2021):
	```
	pip install fairlearn
	```
- [Conda](https://anaconda.org/conda-forge/fairlearn) (📥 22K · ⏱️ 07.07.2021):
	```
	conda install -c conda-forge fairlearn
	```
</details>
<details><summary><b><a href="https://github.com/huggingface/evaluate">evaluate</a></b> (🥈29 ·  ⭐ 940) - Evaluate: A library for easily evaluating machine learning models.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/huggingface/evaluate) (👨‍💻 100 · 🔀 62 · 📦 340 · 📋 140 - 38% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/huggingface/evaluate
	```
- [PyPi](https://pypi.org/project/evaluate) (📥 130K / month · 📦 1 · ⏱️ 16.06.2022):
	```
	pip install evaluate
	```
</details>
<details><summary><b><a href="https://github.com/py-why/dowhy">DoWhy</a></b> (🥈28 ·  ⭐ 5.4K) - DoWhy is a Python library for causal inference that supports explicit.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/py-why/dowhy) (👨‍💻 62 · 🔀 760 · 📥 31 · 📋 310 - 33% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/py-why/dowhy
	```
- [PyPi](https://pypi.org/project/dowhy) (📥 100K / month · 📦 5 · ⏱️ 20.03.2022):
	```
	pip install dowhy
	```
- [Conda](https://anaconda.org/conda-forge/dowhy) (📥 10K · ⏱️ 19.07.2022):
	```
	conda install -c conda-forge dowhy
	```
</details>
<details><summary><b><a href="https://github.com/DistrictDataLabs/yellowbrick">yellowbrick</a></b> (🥈28 ·  ⭐ 3.8K) - Visual analysis and diagnostic tools to facilitate machine.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (👨‍💻 110 · 🔀 520 · 📋 680 - 12% open · ⏱️ 21.08.2022):

	```
	git clone https://github.com/DistrictDataLabs/yellowbrick
	```
- [PyPi](https://pypi.org/project/yellowbrick) (📥 940K / month · 📦 67 · ⏱️ 19.02.2022):
	```
	pip install yellowbrick
	```
- [Conda](https://anaconda.org/conda-forge/yellowbrick) (📥 44K · ⏱️ 22.08.2022):
	```
	conda install -c conda-forge yellowbrick
	```
</details>
<details><summary><b><a href="https://github.com/Trusted-AI/AIF360">Fairness 360</a></b> (🥈28 ·  ⭐ 1.9K) - A comprehensive set of fairness metrics for datasets and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/Trusted-AI/AIF360) (👨‍💻 63 · 🔀 630 · 📦 180 · 📋 220 - 62% open · ⏱️ 04.11.2022):

	```
	git clone https://github.com/Trusted-AI/AIF360
	```
- [PyPi](https://pypi.org/project/aif360) (📥 7.7K / month · 📦 10 · ⏱️ 04.03.2021):
	```
	pip install aif360
	```
- [Conda](https://anaconda.org/conda-forge/aif360) (📥 4K · ⏱️ 04.09.2022):
	```
	conda install -c conda-forge aif360
	```
</details>
<details><summary><b><a href="https://github.com/oegedijk/explainerdashboard">explainerdashboard</a></b> (🥈28 ·  ⭐ 1.3K) - Quickly build Explainable AI dashboards that show the inner.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/oegedijk/explainerdashboard) (👨‍💻 15 · 🔀 180 · 📦 200 · 📋 190 - 10% open · ⏱️ 16.06.2022):

	```
	git clone https://github.com/oegedijk/explainerdashboard
	```
- [PyPi](https://pypi.org/project/explainerdashboard) (📥 48K / month · 📦 4 · ⏱️ 15.06.2022):
	```
	pip install explainerdashboard
	```
- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (📥 25K · ⏱️ 15.02.2022):
	```
	conda install -c conda-forge explainerdashboard
	```
</details>
<details><summary><b><a href="https://github.com/microsoft/responsible-ai-toolbox">responsible-ai-widgets</a></b> (🥈28 ·  ⭐ 600) - This project provides responsible AI user interfaces.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (👨‍💻 29 · 🔀 160 · 📦 39 · 📋 280 - 21% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/microsoft/responsible-ai-toolbox
	```
- [PyPi](https://pypi.org/project/raiwidgets) (📥 9.2K / month · 📦 3 · ⏱️ 10.06.2022):
	```
	pip install raiwidgets
	```
</details>
<details><summary><b><a href="https://github.com/Trusted-AI/AIX360">Explainability 360</a></b> (🥈27 ·  ⭐ 1.2K) - Interpretability and explainability of data and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/Trusted-AI/AIX360) (👨‍💻 39 · 🔀 250 · 📦 64 · 📋 75 - 62% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/Trusted-AI/AIX360
	```
- [PyPi](https://pypi.org/project/aix360) (📥 1.2K / month · 📦 1 · ⏱️ 28.10.2020):
	```
	pip install aix360
	```
</details>
<details><summary><b><a href="https://github.com/quantumblacklabs/causalnex">CausalNex</a></b> (🥉26 ·  ⭐ 1.7K) - A Python library that helps data scientists to infer.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/quantumblacklabs/causalnex) (👨‍💻 30 · 🔀 200 · 📦 59 · 📋 120 - 7% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/quantumblacklabs/causalnex
	```
- [PyPi](https://pypi.org/project/causalnex) (📥 2.5K / month · 📦 2 · ⏱️ 11.11.2021):
	```
	pip install causalnex
	```
</details>
<details><summary><b><a href="https://github.com/marcotcr/checklist">checklist</a></b> (🥉25 ·  ⭐ 1.8K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/marcotcr/checklist) (👨‍💻 13 · 🔀 180 · 📦 170 · 📋 100 - 22% open · ⏱️ 12.08.2022):

	```
	git clone https://github.com/marcotcr/checklist
	```
- [PyPi](https://pypi.org/project/checklist) (📥 10K / month · 📦 6 · ⏱️ 24.05.2021):
	```
	pip install checklist
	```
- [Conda](https://anaconda.org/conda-forge/checklist) (📥 4.5K · ⏱️ 15.07.2021):
	```
	conda install -c conda-forge checklist
	```
</details>
<details><summary><b><a href="https://github.com/csinva/imodels">imodels</a></b> (🥉25 ·  ⭐ 950) - Interpretable ML package for concise, transparent, and accurate predictive.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/csinva/imodels) (👨‍💻 13 · 🔀 93 · 📦 25 · 📋 46 - 39% open · ⏱️ 31.10.2022):

	```
	git clone https://github.com/csinva/imodels
	```
- [PyPi](https://pypi.org/project/imodels) (📥 110K / month · 📦 2 · ⏱️ 03.07.2022):
	```
	pip install imodels
	```
</details>
<details><summary><b><a href="https://github.com/ploomber/sklearn-evaluation">sklearn-evaluation</a></b> (🥉24 ·  ⭐ 340) - Machine learning model evaluation made easy: plots,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/ploomber/sklearn-evaluation) (👨‍💻 10 · 🔀 36 · 📦 51 · 📋 58 - 37% open · ⏱️ 06.11.2022):

	```
	git clone https://github.com/edublancas/sklearn-evaluation
	```
- [PyPi](https://pypi.org/project/sklearn-evaluation) (📥 2.2K / month · 📦 2 · ⏱️ 05.07.2022):
	```
	pip install sklearn-evaluation
	```
</details>
<details><summary><b><a href="https://github.com/PAIR-code/lit">LIT</a></b> (🥉23 ·  ⭐ 3K · 💤) - The Language Interpretability Tool: Interactively analyze NLP models.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/PAIR-code/lit) (👨‍💻 18 · 🔀 310 · 📦 11 · 📋 130 - 47% open · ⏱️ 15.03.2022):

	```
	git clone https://github.com/PAIR-code/lit
	```
- [PyPi](https://pypi.org/project/lit-nlp) (📥 1.1K / month · ⏱️ 21.12.2021):
	```
	pip install lit-nlp
	```
- [Conda](https://anaconda.org/conda-forge/lit-nlp) (📥 47K · ⏱️ 09.11.2021):
	```
	conda install -c conda-forge lit-nlp
	```
</details>
<details><summary><b><a href="https://github.com/philipperemy/keract">keract</a></b> (🥉23 ·  ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/philipperemy/keract) (👨‍💻 16 · 🔀 180 · 📦 160 · 📋 89 - 3% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/philipperemy/keract
	```
- [PyPi](https://pypi.org/project/keract) (📥 4.6K / month · 📦 6 · ⏱️ 19.06.2021):
	```
	pip install keract
	```
</details>
<details><summary><b><a href="https://github.com/PAIR-code/what-if-tool">What-If Tool</a></b> (🥉22 ·  ⭐ 760 · 💤) - Source code/webpage/demos for the What-If Tool. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/PAIR-code/what-if-tool) (👨‍💻 20 · 🔀 140 · 📋 120 - 53% open · ⏱️ 05.01.2022):

	```
	git clone https://github.com/PAIR-code/what-if-tool
	```
- [PyPi](https://pypi.org/project/witwidget) (📥 9.4K / month · 📦 3 · ⏱️ 12.10.2021):
	```
	pip install witwidget
	```
- [Conda](https://anaconda.org/conda-forge/tensorboard-plugin-wit) (📥 1.4M · ⏱️ 06.01.2022):
	```
	conda install -c conda-forge tensorboard-plugin-wit
	```
- [npm](https://www.npmjs.com/package/wit-widget) (📥 3.6K / month · ⏱️ 12.10.2021):
	```
	npm install wit-widget
	```
</details>
<details><summary><b><a href="https://github.com/albermax/innvestigate">iNNvestigate</a></b> (🥉21 ·  ⭐ 1.1K) - A toolbox to iNNvestigate neural networks predictions!. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/albermax/innvestigate) (👨‍💻 19 · 🔀 230 · 📥 38 · 📋 250 - 21% open · ⏱️ 12.10.2022):

	```
	git clone https://github.com/albermax/innvestigate
	```
- [PyPi](https://pypi.org/project/innvestigate) (📥 500 / month · 📦 2 · ⏱️ 14.11.2020):
	```
	pip install innvestigate
	```
</details>
<details><summary><b><a href="https://github.com/sicara/tf-explain">tf-explain</a></b> (🥉21 ·  ⭐ 950) - Interpretability Methods for tf.keras models with Tensorflow 2.x. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/sicara/tf-explain) (👨‍💻 18 · 🔀 100 · 📦 140 · 📋 92 - 44% open · ⏱️ 30.06.2022):

	```
	git clone https://github.com/sicara/tf-explain
	```
- [PyPi](https://pypi.org/project/tf-explain) (📥 2.5K / month · 📦 7 · ⏱️ 18.11.2021):
	```
	pip install tf-explain
	```
</details>
<details><summary><b><a href="https://github.com/interpretml/DiCE">DiCE</a></b> (🥉21 ·  ⭐ 950) - Generate Diverse Counterfactual Explanations for any machine.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/interpretml/DiCE) (👨‍💻 15 · 🔀 140 · 📋 140 - 37% open · ⏱️ 19.10.2022):

	```
	git clone https://github.com/interpretml/DiCE
	```
- [PyPi](https://pypi.org/project/dice-ml) (📥 27K / month · 📦 4 · ⏱️ 02.06.2022):
	```
	pip install dice-ml
	```
</details>
<details><summary><b><a href="https://github.com/kundajelab/deeplift">deeplift</a></b> (🥉21 ·  ⭐ 680 · 💤) - Public facing deeplift repo. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/kundajelab/deeplift) (👨‍💻 11 · 🔀 150 · 📦 63 · 📋 86 - 43% open · ⏱️ 11.11.2021):

	```
	git clone https://github.com/kundajelab/deeplift
	```
- [PyPi](https://pypi.org/project/deeplift) (📥 420 / month · 📦 4 · ⏱️ 11.11.2020):
	```
	pip install deeplift
	```
</details>
<details><summary><b><a href="https://github.com/jalammar/ecco">ecco</a></b> (🥉19 ·  ⭐ 1.5K · 💤) - Explain, analyze, and visualize NLP language models. Ecco creates.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/jalammar/ecco) (👨‍💻 10 · 🔀 100 · 📥 22 · 📦 10 · 📋 40 - 42% open · ⏱️ 18.01.2022):

	```
	git clone https://github.com/jalammar/ecco
	```
- [PyPi](https://pypi.org/project/ecco) (📥 450 / month · 📦 1 · ⏱️ 09.01.2022):
	```
	pip install ecco
	```
- [Conda](https://anaconda.org/conda-forge/ecco) (📥 2.2K · ⏱️ 10.01.2022):
	```
	conda install -c conda-forge ecco
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/model-card-toolkit">model-card-toolkit</a></b> (🥉17 ·  ⭐ 320) - a tool that leverages rich metadata and lineage.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/tensorflow/model-card-toolkit) (👨‍💻 13 · 🔀 65 · 📦 11 · 📋 20 - 80% open · ⏱️ 06.10.2022):

	```
	git clone https://github.com/tensorflow/model-card-toolkit
	```
- [PyPi](https://pypi.org/project/model-card-toolkit) (📥 1K / month · ⏱️ 28.04.2022):
	```
	pip install model-card-toolkit
	```
</details>
<details><summary><b><a href="https://github.com/marcotcr/anchor">Anchor</a></b> (🥉16 ·  ⭐ 720) - Code for High-Precision Model-Agnostic Explanations paper. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>

- [GitHub](https://github.com/marcotcr/anchor) (👨‍💻 10 · 🔀 100 · 📋 73 - 30% open · ⏱️ 19.07.2022):

	```
	git clone https://github.com/marcotcr/anchor
	```
- [PyPi](https://pypi.org/project/anchor_exp) (📥 1.3K / month · 📦 2 · ⏱️ 10.09.2020):
	```
	pip install anchor_exp
	```
</details>
<details><summary><b><a href="https://github.com/aerdem4/lofo-importance">LOFO</a></b> (🥉16 ·  ⭐ 670 · 💤) - Leave One Feature Out Importance. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/aerdem4/lofo-importance) (👨‍💻 3 · 🔀 69 · 📦 22 · 📋 20 - 20% open · ⏱️ 27.04.2022):

	```
	git clone https://github.com/aerdem4/lofo-importance
	```
- [PyPi](https://pypi.org/project/lofo-importance) (📥 1.1K / month · 📦 2 · ⏱️ 27.04.2022):
	```
	pip install lofo-importance
	```
</details>
<details><summary><b><a href="https://github.com/explainX/explainx">ExplainX.ai</a></b> (🥉15 ·  ⭐ 320) - Explainable AI framework for data scientists. Explain & debug any.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/explainX/explainx) (👨‍💻 4 · 🔀 42 · 📥 5 · 📋 27 - 37% open · ⏱️ 15.09.2022):

	```
	git clone https://github.com/explainX/explainx
	```
- [PyPi](https://pypi.org/project/explainx) (📥 2.4K / month · ⏱️ 04.02.2021):
	```
	pip install explainx
	```
</details>
<details><summary><b><a href="https://github.com/interpretml/interpret-text">interpret-text</a></b> (🥉13 ·  ⭐ 340 · 💤) - A library that incorporates state-of-the-art explainers.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/interpretml/interpret-text) (👨‍💻 17 · 🔀 58 · 📋 74 - 78% open · ⏱️ 06.12.2021):

	```
	git clone https://github.com/interpretml/interpret-text
	```
- [PyPi](https://pypi.org/project/interpret-text) (📥 37 / month · ⏱️ 07.12.2021):
	```
	pip install interpret-text
	```
</details>
<details><summary>Show 20 hidden projects...</summary>

- <b><a href="https://github.com/marcotcr/lime">Lime</a></b> (🥇33 ·  ⭐ 10K · 💀) - Lime: Explaining the predictions of any machine learning classifier. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code>
- <b><a href="https://github.com/bmabey/pyLDAvis">pyLDAvis</a></b> (🥇31 ·  ⭐ 1.7K · 💀) - Python library for interactive topic model visualization... <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/deepchecks/deepchecks">Deep Checks</a></b> (🥈28 ·  ⭐ 2.2K) - Tests for Continuous Validation of ML Models & Data... <code><a href="http://bit.ly/3pwmjO5">❗️AGPL-3.0</a></code>
- <b><a href="https://github.com/TeamHG-Memex/eli5">eli5</a></b> (🥈27 ·  ⭐ 2.6K · 💀) - A library for debugging/inspecting machine learning classifiers and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/reiinakano/scikit-plot">scikit-plot</a></b> (🥈27 ·  ⭐ 2.3K · 💀) - An intuitive library to add plotting functionality to.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/tensorflow/lucid">Lucid</a></b> (🥉26 ·  ⭐ 4.5K · 💀) - A collection of infrastructure and tools for research in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/raghakot/keras-vis">keras-vis</a></b> (🥉25 ·  ⭐ 3K · 💀) - Neural network visualization toolkit for keras. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/ModelOriented/DALEX">DALEX</a></b> (🥉23 ·  ⭐ 1.1K) - moDel Agnostic Language for Exploration and eXplanation. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/andosa/treeinterpreter">TreeInterpreter</a></b> (🥉22 ·  ⭐ 720 · 💀) - Package for interpreting scikit-learns decision tree.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/parrt/random-forest-importances">random-forest-importances</a></b> (🥉22 ·  ⭐ 530 · 💀) - Code to compute permutation and drop-column.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/dssg/aequitas">aequitas</a></b> (🥉21 ·  ⭐ 500 · 💀) - Bias and Fairness Audit Toolkit. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/understandable-machine-intelligence-lab/Quantus">Quantus</a></b> (🥉21 ·  ⭐ 250) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. <code><a href="http://bit.ly/37RvQcA">❗️LGPL-3.0</a></code>
- <b><a href="https://github.com/oracle/Skater">Skater</a></b> (🥉20 ·  ⭐ 1K · 💤) - Python Library for Model Interpretation/Explanations. <code><a href="https://tldrlegal.com/search?q=UPL-1.0">❗️UPL-1.0</a></code>
- <b><a href="https://github.com/tensorflow/tcav">tcav</a></b> (🥉19 ·  ⭐ 540 · 💀) - Code for the TCAV ML interpretability project. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/tensorflow/fairness-indicators">fairness-indicators</a></b> (🥉19 ·  ⭐ 280) - Tensorflows Fairness Evaluation and Visualization.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/MisaOgura/flashtorch">FlashTorch</a></b> (🥉17 ·  ⭐ 690 · 💀) - Visualization toolkit for neural networks in PyTorch! Demo --. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/EthicalML/xai">XAI</a></b> (🥉16 ·  ⭐ 870 · 💀) - XAI - An eXplainability toolbox for machine learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/SAP/contextual-ai">contextual-ai</a></b> (🥉12 ·  ⭐ 81 · 💤) - Contextual AI adds explainability to different stages of.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/suinleelab/attributionpriors">Attribution Priors</a></b> (🥉11 ·  ⭐ 100 · 💀) - Tools for training explainable models using.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/intuit/bias-detector">bias-detector</a></b> (🥉11 ·  ⭐ 40) - Bias Detector is a python package for detecting bias in machine.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
</details>
<br>

## Vector Similarity Search (ANN)

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search._

🔗&nbsp;<b><a href="https://github.com/erikbern/ann-benchmarks">ANN Benchmarks</a></b> ( ⭐ 3.1K)  - Benchmarks of approximate nearest neighbor libraries in Python.

<details><summary><b><a href="https://github.com/milvus-io/milvus">Milvus</a></b> (🥇38 ·  ⭐ 14K) - Vector database for scalable similarity search and AI applications. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/milvus-io/milvus) (👨‍💻 230 · 🔀 1.9K · 📥 24K · 📋 6.4K - 5% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/milvus-io/milvus
	```
- [PyPi](https://pypi.org/project/pymilvus) (📥 190K / month · 📦 17 · ⏱️ 02.04.2022):
	```
	pip install pymilvus
	```
- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 2.3M · ⭐ 23 · ⏱️ 10.11.2022):
	```
	docker pull milvusdb/milvus
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/faiss">Faiss</a></b> (🥇36 ·  ⭐ 18K) - A library for efficient similarity search and clustering of dense vectors. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/facebookresearch/faiss) (👨‍💻 110 · 🔀 2.7K · 📦 790 · 📋 1.9K - 11% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/facebookresearch/faiss
	```
- [PyPi](https://pypi.org/project/pymilvus) (📥 190K / month · 📦 17 · ⏱️ 02.04.2022):
	```
	pip install pymilvus
	```
- [Conda](https://anaconda.org/conda-forge/faiss) (📥 550K · ⏱️ 02.11.2022):
	```
	conda install -c conda-forge faiss
	```
</details>
<details><summary><b><a href="https://github.com/spotify/annoy">Annoy</a></b> (🥈33 ·  ⭐ 10K · 📉) - Approximate Nearest Neighbors in C++/Python optimized for memory.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/spotify/annoy) (👨‍💻 82 · 🔀 1.1K · 📦 2.3K · 📋 360 - 11% open · ⏱️ 27.10.2022):

	```
	git clone https://github.com/spotify/annoy
	```
- [PyPi](https://pypi.org/project/annoy) (📥 1.2M / month · 📦 240 · ⏱️ 18.09.2020):
	```
	pip install annoy
	```
- [Conda](https://anaconda.org/conda-forge/python-annoy) (📥 280K · ⏱️ 31.10.2022):
	```
	conda install -c conda-forge python-annoy
	```
</details>
<details><summary><b><a href="https://github.com/nmslib/nmslib">NMSLIB</a></b> (🥈30 ·  ⭐ 2.9K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/nmslib/nmslib) (👨‍💻 48 · 🔀 410 · 📦 700 · 📋 410 - 15% open · ⏱️ 31.05.2022):

	```
	git clone https://github.com/nmslib/nmslib
	```
- [PyPi](https://pypi.org/project/nmslib) (📥 120K / month · 📦 52 · ⏱️ 03.02.2021):
	```
	pip install nmslib
	```
- [Conda](https://anaconda.org/conda-forge/nmslib) (📥 70K · ⏱️ 30.10.2022):
	```
	conda install -c conda-forge nmslib
	```
</details>
<details><summary><b><a href="https://github.com/nmslib/hnswlib">hnswlib</a></b> (🥈28 ·  ⭐ 2.2K · 💤) - Header-only C++/python library for fast approximate nearest.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/nmslib/hnswlib) (👨‍💻 56 · 🔀 410 · 📦 320 · 📋 280 - 53% open · ⏱️ 16.04.2022):

	```
	git clone https://github.com/nmslib/hnswlib
	```
- [PyPi](https://pypi.org/project/hnswlib) (📥 430K / month · 📦 28 · ⏱️ 14.02.2022):
	```
	pip install hnswlib
	```
- [Conda](https://anaconda.org/conda-forge/hnswlib) (📥 61K · ⏱️ 01.11.2022):
	```
	conda install -c conda-forge hnswlib
	```
</details>
<details><summary><b><a href="https://github.com/lmcinnes/pynndescent">PyNNDescent</a></b> (🥈28 ·  ⭐ 690) - A Python nearest neighbor descent for approximate nearest neighbors. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>

- [GitHub](https://github.com/lmcinnes/pynndescent) (👨‍💻 24 · 🔀 90 · 📦 2.3K · 📋 110 - 49% open · ⏱️ 01.11.2022):

	```
	git clone https://github.com/lmcinnes/pynndescent
	```
- [PyPi](https://pypi.org/project/pynndescent) (📥 760K / month · 📦 26 · ⏱️ 14.05.2022):
	```
	pip install pynndescent
	```
- [Conda](https://anaconda.org/conda-forge/pynndescent) (📥 1M · ⏱️ 01.11.2022):
	```
	conda install -c conda-forge pynndescent
	```
</details>
<details><summary><b><a href="https://github.com/yahoojapan/NGT">NGT</a></b> (🥉22 ·  ⭐ 940) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/yahoojapan/NGT) (👨‍💻 14 · 🔀 95 · 📋 100 - 12% open · ⏱️ 07.10.2022):

	```
	git clone https://github.com/yahoojapan/NGT
	```
- [PyPi](https://pypi.org/project/ngt) (📥 16K / month · 📦 8 · ⏱️ 20.06.2022):
	```
	pip install ngt
	```
</details>
<details><summary>Show 4 hidden projects...</summary>

- <b><a href="https://github.com/plasticityai/magnitude">Magnitude</a></b> (🥉24 ·  ⭐ 1.5K · 💀) - A fast, efficient universal vector embedding utility package. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/pixelogik/NearPy">NearPy</a></b> (🥉21 ·  ⭐ 720 · 💀) - Python framework for fast (approximated) nearest neighbour search in.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/kakao/n2">N2</a></b> (🥉19 ·  ⭐ 530 · 💀) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/facebookresearch/pysparnn">PySparNN</a></b> (🥉11 ·  ⭐ 900 · 💀) - Approximate Nearest Neighbor Search for Sparse Data in Python!. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
</details>
<br>

## Probabilistics & Statistics

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics._

<details><summary><b><a href="https://github.com/pymc-devs/pymc">PyMC3</a></b> (🥇40 ·  ⭐ 7.1K) - Probabilistic Programming in Python: Bayesian Modeling and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/pymc-devs/pymc) (👨‍💻 420 · 🔀 1.7K · 📥 1.9K · 📦 850 · 📋 2.9K - 6% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/pymc-devs/pymc
	```
- [PyPi](https://pypi.org/project/pymc3) (📥 360K / month · 📦 240 · ⏱️ 15.03.2022):
	```
	pip install pymc3
	```
- [Conda](https://anaconda.org/conda-forge/pymc3) (📥 470K · ⏱️ 20.05.2022):
	```
	conda install -c conda-forge pymc3
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/probability">tensorflow-probability</a></b> (🥇37 ·  ⭐ 3.8K) - Probabilistic reasoning and statistical analysis in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/probability) (👨‍💻 460 · 🔀 1K · 📋 1.3K - 45% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/tensorflow/probability
	```
- [PyPi](https://pypi.org/project/tensorflow-probability) (📥 940K / month · 📦 340 · ⏱️ 07.06.2022):
	```
	pip install tensorflow-probability
	```
- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (📥 80K · ⏱️ 10.11.2022):
	```
	conda install -c conda-forge tensorflow-probability
	```
</details>
<details><summary><b><a href="https://github.com/pyro-ppl/pyro">Pyro</a></b> (🥇34 ·  ⭐ 7.7K) - Deep universal probabilistic programming with Python and PyTorch. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pyro-ppl/pyro) (👨‍💻 130 · 🔀 930 · 📦 910 · 📋 1K - 22% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/pyro-ppl/pyro
	```
- [PyPi](https://pypi.org/project/pyro-ppl) (📥 400K / month · 📦 60 · ⏱️ 24.03.2022):
	```
	pip install pyro-ppl
	```
- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (📥 28K · ⏱️ 07.09.2022):
	```
	conda install -c conda-forge pyro-ppl
	```
</details>
<details><summary><b><a href="https://github.com/cornellius-gp/gpytorch">GPyTorch</a></b> (🥈32 ·  ⭐ 2.9K · 📉) - A highly efficient and modular implementation of Gaussian.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/cornellius-gp/gpytorch) (👨‍💻 110 · 🔀 440 · 📦 790 · 📋 1.2K - 25% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/cornellius-gp/gpytorch
	```
- [PyPi](https://pypi.org/project/gpytorch) (📥 190K / month · 📦 41 · ⏱️ 27.06.2022):
	```
	pip install gpytorch
	```
- [Conda](https://anaconda.org/conda-forge/gpytorch) (📥 60K · ⏱️ 08.09.2022):
	```
	conda install -c conda-forge gpytorch
	```
</details>
<details><summary><b><a href="https://github.com/GPflow/GPflow">GPflow</a></b> (🥈32 ·  ⭐ 1.7K) - Gaussian processes in TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/GPflow/GPflow) (👨‍💻 79 · 🔀 430 · 📦 420 · 📋 800 - 16% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/GPflow/GPflow
	```
- [PyPi](https://pypi.org/project/gpflow) (📥 69K / month · 📦 29 · ⏱️ 10.05.2022):
	```
	pip install gpflow
	```
- [Conda](https://anaconda.org/conda-forge/gpflow) (📥 17K · ⏱️ 24.05.2022):
	```
	conda install -c conda-forge gpflow
	```
</details>
<details><summary><b><a href="https://github.com/hmmlearn/hmmlearn">hmmlearn</a></b> (🥈31 ·  ⭐ 2.6K) - Hidden Markov Models in Python, with scikit-learn like API. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/hmmlearn/hmmlearn) (👨‍💻 41 · 🔀 710 · 📦 1.4K · 📋 400 - 14% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/hmmlearn/hmmlearn
	```
- [PyPi](https://pypi.org/project/hmmlearn) (📥 100K / month · 📦 130 · ⏱️ 10.02.2022):
	```
	pip install hmmlearn
	```
- [Conda](https://anaconda.org/conda-forge/hmmlearn) (📥 150K · ⏱️ 05.11.2022):
	```
	conda install -c conda-forge hmmlearn
	```
</details>
<details><summary><b><a href="https://github.com/dfm/emcee">emcee</a></b> (🥈31 ·  ⭐ 1.3K) - The Python ensemble sampling toolkit for affine-invariant MCMC. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/dfm/emcee) (👨‍💻 65 · 🔀 420 · 📦 1.6K · 📋 270 - 16% open · ⏱️ 12.10.2022):

	```
	git clone https://github.com/dfm/emcee
	```
- [PyPi](https://pypi.org/project/emcee) (📥 100K / month · 📦 310 · ⏱️ 10.05.2022):
	```
	pip install emcee
	```
- [Conda](https://anaconda.org/conda-forge/emcee) (📥 250K · ⏱️ 28.09.2022):
	```
	conda install -c conda-forge emcee
	```
</details>
<details><summary><b><a href="https://github.com/pydata/patsy">patsy</a></b> (🥈31 ·  ⭐ 860) - Describing statistical models in Python using symbolic formulas. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>

- [GitHub](https://github.com/pydata/patsy) (👨‍💻 17 · 🔀 100 · 📦 59K · 📋 140 - 48% open · ⏱️ 09.10.2022):

	```
	git clone https://github.com/pydata/patsy
	```
- [PyPi](https://pypi.org/project/patsy) (📥 8M / month · 📦 2.7K · ⏱️ 26.09.2021):
	```
	pip install patsy
	```
- [Conda](https://anaconda.org/conda-forge/patsy) (📥 6.2M · ⏱️ 09.10.2022):
	```
	conda install -c conda-forge patsy
	```
</details>
<details><summary><b><a href="https://github.com/rlabbe/filterpy">filterpy</a></b> (🥈30 ·  ⭐ 2.5K) - Python Kalman filtering and optimal estimation library. Implements.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/rlabbe/filterpy) (👨‍💻 43 · 🔀 530 · 📦 1.7K · 📋 210 - 25% open · ⏱️ 22.08.2022):

	```
	git clone https://github.com/rlabbe/filterpy
	```
- [PyPi](https://pypi.org/project/filterpy) (📥 1.3M / month · 📦 130 · ⏱️ 10.10.2018):
	```
	pip install filterpy
	```
- [Conda](https://anaconda.org/conda-forge/filterpy) (📥 170K · ⏱️ 05.05.2020):
	```
	conda install -c conda-forge filterpy
	```
</details>
<details><summary><b><a href="https://github.com/pgmpy/pgmpy">pgmpy</a></b> (🥈30 ·  ⭐ 2.2K) - Python Library for learning (Structure and Parameter), inference.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/pgmpy/pgmpy) (👨‍💻 110 · 🔀 650 · 📥 170 · 📦 430 · 📋 810 - 27% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/pgmpy/pgmpy
	```
- [PyPi](https://pypi.org/project/pgmpy) (📥 55K / month · 📦 11 · ⏱️ 30.06.2022):
	```
	pip install pgmpy
	```
</details>
<details><summary><b><a href="https://github.com/twopirllc/pandas-ta">pandas-ta</a></b> (🥉29 ·  ⭐ 3K) - Technical Analysis Indicators - Pandas TA is an easy to use Python.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/twopirllc/pandas-ta) (👨‍💻 45 · 🔀 660 · 📦 920 · 📋 450 - 18% open · ⏱️ 24.09.2022):

	```
	git clone https://github.com/twopirllc/pandas-ta
	```
- [PyPi](https://pypi.org/project/pandas-ta) (📥 67K / month · 📦 19 · ⏱️ 28.07.2021):
	```
	pip install pandas-ta
	```
- [Conda](https://anaconda.org/conda-forge/pandas-ta) (📥 2.8K · ⏱️ 05.10.2021):
	```
	conda install -c conda-forge pandas-ta
	```
</details>
<details><summary><b><a href="https://github.com/jmschrei/pomegranate">pomegranate</a></b> (🥉29 ·  ⭐ 3K) - Fast, flexible and easy to use probabilistic modelling in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/jmschrei/pomegranate) (👨‍💻 66 · 🔀 540 · 📦 770 · 📋 690 - 10% open · ⏱️ 04.07.2022):

	```
	git clone https://github.com/jmschrei/pomegranate
	```
- [PyPi](https://pypi.org/project/pomegranate) (📥 74K / month · 📦 46 · ⏱️ 21.02.2022):
	```
	pip install pomegranate
	```
- [Conda](https://anaconda.org/conda-forge/pomegranate) (📥 100K · ⏱️ 19.09.2022):
	```
	conda install -c conda-forge pomegranate
	```
</details>
<details><summary><b><a href="https://github.com/SALib/SALib">SALib</a></b> (🥉29 ·  ⭐ 650) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/SALib/SALib) (👨‍💻 39 · 🔀 200 · 📋 300 - 13% open · ⏱️ 29.10.2022):

	```
	git clone https://github.com/SALib/SALib
	```
- [PyPi](https://pypi.org/project/salib) (📥 220K / month · 📦 63 · ⏱️ 22.06.2022):
	```
	pip install salib
	```
- [Conda](https://anaconda.org/conda-forge/salib) (📥 97K · ⏱️ 19.10.2022):
	```
	conda install -c conda-forge salib
	```
</details>
<details><summary><b><a href="https://github.com/bambinos/bambi">bambi</a></b> (🥉27 ·  ⭐ 850) - BAyesian Model-Building Interface (Bambi) in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/bambinos/bambi) (👨‍💻 26 · 🔀 92 · 📦 40 · 📋 290 - 20% open · ⏱️ 05.11.2022):

	```
	git clone https://github.com/bambinos/bambi
	```
- [PyPi](https://pypi.org/project/bambi) (📥 11K / month · 📦 3 · ⏱️ 06.06.2022):
	```
	pip install bambi
	```
- [Conda](https://anaconda.org/conda-forge/bambi) (📥 15K · ⏱️ 29.08.2022):
	```
	conda install -c conda-forge bambi
	```
</details>
<details><summary><b><a href="https://github.com/uber/orbit">Orbit</a></b> (🥉25 ·  ⭐ 1.5K) - A Python package for Bayesian forecasting with object-oriented design.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/uber/orbit) (👨‍💻 18 · 🔀 110 · 📦 11 · 📋 380 - 15% open · ⏱️ 14.09.2022):

	```
	git clone https://github.com/uber/orbit
	```
- [PyPi](https://pypi.org/project/orbit-ml) (📥 170K / month · 📦 1 · ⏱️ 28.04.2022):
	```
	pip install orbit-ml
	```
</details>
<details><summary><b><a href="https://github.com/baal-org/baal">Baal</a></b> (🥉18 ·  ⭐ 670) - Library to enable Bayesian active learning in your research or labeling.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/baal-org/baal) (👨‍💻 18 · 🔀 62 · 📋 89 - 24% open · ⏱️ 30.10.2022):

	```
	git clone https://github.com/baal-org/baal
	```
- [PyPi](https://pypi.org/project/baal) (📥 580 / month · 📦 1 · ⏱️ 03.05.2022):
	```
	pip install baal
	```
- [Conda](https://anaconda.org/conda-forge/baal) (📥 3.7K · ⏱️ 31.10.2022):
	```
	conda install -c conda-forge baal
	```
</details>
<details><summary>Show 7 hidden projects...</summary>

- <b><a href="https://github.com/raphaelvallat/pingouin">pingouin</a></b> (🥉29 ·  ⭐ 1.2K) - Statistical package in Python based on Pandas. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/blei-lab/edward">Edward</a></b> (🥉28 ·  ⭐ 4.7K · 💀) - A probabilistic programming language in TensorFlow. Deep.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/stan-dev/pystan">PyStan</a></b> (🥉27 ·  ⭐ 210) - PyStan, a Python interface to Stan, a platform for statistical modeling... <code><a href="http://bit.ly/3hkKRql">ISC</a></code>
- <b><a href="https://github.com/mattjj/pyhsmm">pyhsmm</a></b> (🥉21 ·  ⭐ 520 · 💀) - Bayesian inference in HSMMs and HMMs. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/maximtrp/scikit-posthocs">scikit-posthocs</a></b> (🥉21 ·  ⭐ 260) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/pyro-ppl/funsor">Funsor</a></b> (🥉18 ·  ⭐ 200) - Functional tensors for probabilistic programming. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/thu-ml/zhusuan">ZhuSuan</a></b> (🥉16 ·  ⭐ 2.1K · 💀) - A probabilistic programming library for Bayesian deep learning,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
</details>
<br>

## Adversarial Robustness

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._

<details><summary><b><a href="https://github.com/Trusted-AI/adversarial-robustness-toolbox">ART</a></b> (🥇34 ·  ⭐ 3.3K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨‍💻 120 · 🔀 890 · 📦 270 · 📋 730 - 12% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox
	```
- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (📥 22K / month · 📦 7 · ⏱️ 01.07.2022):
	```
	pip install adversarial-robustness-toolbox
	```
- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (📥 18K · ⏱️ 28.09.2022):
	```
	conda install -c conda-forge adversarial-robustness-toolbox
	```
</details>
<details><summary><b><a href="https://github.com/QData/TextAttack">TextAttack</a></b> (🥈29 ·  ⭐ 2.1K) - TextAttack is a Python framework for adversarial attacks, data.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/QData/TextAttack) (👨‍💻 55 · 🔀 280 · 📦 100 · 📋 230 - 10% open · ⏱️ 06.11.2022):

	```
	git clone https://github.com/QData/TextAttack
	```
- [PyPi](https://pypi.org/project/textattack) (📥 6.8K / month · 📦 7 · ⏱️ 25.05.2022):
	```
	pip install textattack
	```
- [Conda](https://anaconda.org/conda-forge/textattack) (📥 4.4K · ⏱️ 29.06.2021):
	```
	conda install -c conda-forge textattack
	```
</details>
<details><summary><b><a href="https://github.com/bethgelab/foolbox">Foolbox</a></b> (🥈28 ·  ⭐ 2.3K) - A Python toolbox to create adversarial examples that fool neural networks.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/bethgelab/foolbox) (👨‍💻 32 · 🔀 400 · 📦 340 · 📋 350 - 6% open · ⏱️ 25.05.2022):

	```
	git clone https://github.com/bethgelab/foolbox
	```
- [PyPi](https://pypi.org/project/foolbox) (📥 9K / month · 📦 13 · ⏱️ 02.04.2022):
	```
	pip install foolbox
	```
- [Conda](https://anaconda.org/conda-forge/foolbox) (📥 8.4K · ⏱️ 30.04.2021):
	```
	conda install -c conda-forge foolbox
	```
</details>
<details><summary><b><a href="https://github.com/advboxes/AdvBox">AdvBox</a></b> (🥉19 ·  ⭐ 1.3K) - Advbox is a toolbox to generate adversarial examples that fool neural.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/advboxes/AdvBox) (👨‍💻 19 · 🔀 240 · 📋 38 - 21% open · ⏱️ 08.08.2022):

	```
	git clone https://github.com/advboxes/AdvBox
	```
- [PyPi](https://pypi.org/project/advbox) (📥 26 / month · ⏱️ 05.12.2018):
	```
	pip install advbox
	```
</details>
<details><summary><b><a href="https://github.com/MadryLab/robustness">robustness</a></b> (🥉19 ·  ⭐ 740 · 💤) - A library for experimenting with, training and evaluating neural.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/MadryLab/robustness) (👨‍💻 13 · 🔀 150 · 📦 87 · 📋 76 - 26% open · ⏱️ 14.02.2022):

	```
	git clone https://github.com/MadryLab/robustness
	```
- [PyPi](https://pypi.org/project/robustness) (📥 1K / month · 📦 2 · ⏱️ 01.12.2020):
	```
	pip install robustness
	```
- [Conda](https://anaconda.org/conda-forge/robustness) (📥 5.1K · ⏱️ 30.04.2021):
	```
	conda install -c conda-forge robustness
	```
</details>
<details><summary>Show 4 hidden projects...</summary>

- <b><a href="https://github.com/cleverhans-lab/cleverhans">CleverHans</a></b> (🥈30 ·  ⭐ 5.7K · 💀) - An adversarial example library for constructing attacks,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/BorealisAI/advertorch">advertorch</a></b> (🥉22 ·  ⭐ 1.1K) - A Toolbox for Adversarial Robustness Research. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/textflint/textflint">textflint</a></b> (🥉16 ·  ⭐ 580) - Unified Multilingual Robustness Evaluation Toolkit for Natural.. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/airbnb/artificial-adversary">Adversary</a></b> (🥉14 ·  ⭐ 370 · 💀) - Tool to generate adversarial text examples and test machine.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
</details>
<br>

## GPU & Accelerator Utilities

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._

<details><summary><b><a href="https://github.com/rapidsai/cudf">cuDF</a></b> (🥇31 ·  ⭐ 5.1K) - cuDF - GPU DataFrame Library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/rapidsai/cudf) (👨‍💻 260 · 🔀 650 · 📋 5K - 13% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/rapidsai/cudf
	```
- [PyPi](https://pypi.org/project/cudf) (📥 1.7K / month · 📦 6 · ⏱️ 01.06.2020):
	```
	pip install cudf
	```
</details>
<details><summary><b><a href="https://github.com/wookayin/gpustat">gpustat</a></b> (🥇31 ·  ⭐ 3.1K) - A simple command-line utility for querying and monitoring GPU status. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/wookayin/gpustat) (👨‍💻 16 · 🔀 250 · 📦 2.3K · 📋 99 - 23% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/wookayin/gpustat
	```
- [PyPi](https://pypi.org/project/gpustat) (📥 850K / month · 📦 120 · ⏱️ 05.07.2022):
	```
	pip install gpustat
	```
- [Conda](https://anaconda.org/conda-forge/gpustat) (📥 150K · ⏱️ 11.10.2022):
	```
	conda install -c conda-forge gpustat
	```
</details>
<details><summary><b><a href="https://github.com/inducer/pycuda">PyCUDA</a></b> (🥇31 ·  ⭐ 1.4K) - CUDA integration for Python, plus shiny features. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/inducer/pycuda) (👨‍💻 79 · 🔀 260 · 📦 1.6K · 📋 240 - 30% open · ⏱️ 01.11.2022):

	```
	git clone https://github.com/inducer/pycuda
	```
- [PyPi](https://pypi.org/project/pycuda) (📥 37K / month · 📦 200 · ⏱️ 24.06.2022):
	```
	pip install pycuda
	```
- [Conda](https://anaconda.org/conda-forge/pycuda) (📥 130K · ⏱️ 11.09.2022):
	```
	conda install -c conda-forge pycuda
	```
</details>
<details><summary><b><a href="https://github.com/rapidsai/cuml">cuML</a></b> (🥈29 ·  ⭐ 3K) - cuML - RAPIDS Machine Learning Library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/rapidsai/cuml) (👨‍💻 160 · 🔀 430 · 📋 2.1K - 33% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/rapidsai/cuml
	```
- [PyPi](https://pypi.org/project/cuml) (📥 940 / month · 📦 4 · ⏱️ 01.06.2020):
	```
	pip install cuml
	```
</details>
<details><summary><b><a href="https://github.com/arrayfire/arrayfire">ArrayFire</a></b> (🥈28 ·  ⭐ 4K) - ArrayFire: a general purpose GPU library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/arrayfire/arrayfire) (👨‍💻 84 · 🔀 490 · 📥 2.9K · 📋 1.6K - 16% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/arrayfire/arrayfire
	```
- [PyPi](https://pypi.org/project/arrayfire) (📥 470 / month · 📦 5 · ⏱️ 22.02.2022):
	```
	pip install arrayfire
	```
</details>
<details><summary><b><a href="https://github.com/NVIDIA/apex">Apex</a></b> (🥈27 ·  ⭐ 6.8K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/NVIDIA/apex) (👨‍💻 100 · 🔀 1.1K · 📦 1.3K · 📋 1.1K - 55% open · ⏱️ 27.10.2022):

	```
	git clone https://github.com/NVIDIA/apex
	```
- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (📥 120K · ⏱️ 06.04.2022):
	```
	conda install -c conda-forge nvidia-apex
	```
</details>
<details><summary><b><a href="https://github.com/huggingface/optimum">optimum</a></b> (🥈27 ·  ⭐ 760) - Accelerate training and inference of Transformers with easy to use.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/huggingface/optimum) (👨‍💻 26 · 🔀 77 · 📦 45 · 📋 150 - 40% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/huggingface/optimum
	```
- [PyPi](https://pypi.org/project/optimum) (📥 49K / month · 📦 3 · ⏱️ 13.06.2022):
	```
	pip install optimum
	```
- [Conda](https://anaconda.org/conda-forge/optimum) (📥 4.5K · ⏱️ 12.07.2022):
	```
	conda install -c conda-forge optimum
	```
</details>
<details><summary><b><a href="https://github.com/cupy/cupy">CuPy</a></b> (🥈25 ·  ⭐ 6.4K · 📉) - NumPy & SciPy for GPU. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/cupy/cupy) (👨‍💻 260 · 🔀 640):

	```
	git clone https://github.com/cupy/cupy
	```
- [PyPi](https://pypi.org/project/cupy) (📥 20K / month · 📦 160 · ⏱️ 30.06.2022):
	```
	pip install cupy
	```
- [Conda](https://anaconda.org/conda-forge/cupy) (📥 2.1M · ⏱️ 12.10.2022):
	```
	conda install -c conda-forge cupy
	```
- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 56K · ⭐ 8 · ⏱️ 06.10.2022):
	```
	docker pull cupy/cupy
	```
</details>
<details><summary><b><a href="https://github.com/rapidsai/cugraph">cuGraph</a></b> (🥈25 ·  ⭐ 1.2K) - cuGraph - RAPIDS Graph Analytics Library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/rapidsai/cugraph) (👨‍💻 91 · 🔀 220 · 📋 1.1K - 19% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/rapidsai/cugraph
	```
- [PyPi](https://pypi.org/project/cugraph) (📥 110 / month · 📦 1 · ⏱️ 01.06.2020):
	```
	pip install cugraph
	```
- [Conda](https://anaconda.org/conda-forge/libcugraph) (📥 11K · ⏱️ 29.04.2021):
	```
	conda install -c conda-forge libcugraph
	```
</details>
<details><summary><b><a href="https://github.com/NVIDIA/DALI">DALI</a></b> (🥉24 ·  ⭐ 4.1K) - A GPU-accelerated library containing highly optimized building blocks.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/NVIDIA/DALI) (👨‍💻 79 · 🔀 530 · 📋 1.3K - 17% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/NVIDIA/DALI
	```
</details>
<details><summary><b><a href="https://github.com/lebedov/scikit-cuda">scikit-cuda</a></b> (🥉24 ·  ⭐ 920 · 💤) - Python interface to GPU-powered libraries. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/lebedov/scikit-cuda) (👨‍💻 46 · 🔀 170 · 📦 210 · 📋 220 - 22% open · ⏱️ 31.03.2022):

	```
	git clone https://github.com/lebedov/scikit-cuda
	```
- [PyPi](https://pypi.org/project/scikit-cuda) (📥 580 / month · 📦 44 · ⏱️ 27.05.2019):
	```
	pip install scikit-cuda
	```
</details>
<details><summary><b><a href="https://github.com/NVIDIA-Merlin/Merlin">Merlin</a></b> (🥉23 ·  ⭐ 370) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (👨‍💻 26 · 🔀 61 · 📋 290 - 46% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/NVIDIA-Merlin/Merlin
	```
- [PyPi](https://pypi.org/project/merlin-core) (📥 6.9K / month · ⏱️ 14.06.2022):
	```
	pip install merlin-core
	```
</details>
<details><summary><b><a href="https://github.com/KomputeProject/kompute">Vulkan Kompute</a></b> (🥉18 ·  ⭐ 1K) - General purpose GPU compute framework built on Vulkan to.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/KomputeProject/kompute) (👨‍💻 20 · 🔀 68 · 📥 190 · 📦 4 · 📋 180 - 33% open · ⏱️ 11.09.2022):

	```
	git clone https://github.com/KomputeProject/kompute
	```
- [PyPi](https://pypi.org/project/kp) (📥 85 / month · ⏱️ 13.04.2022):
	```
	pip install kp
	```
</details>
<details><summary><b><a href="https://github.com/rapidsai/cusignal">cuSignal</a></b> (🥉18 ·  ⭐ 630) - GPU accelerated signal processing. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/rapidsai/cusignal) (👨‍💻 39 · 🔀 100 · 📋 140 - 12% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/rapidsai/cusignal
	```
</details>
<details><summary>Show 6 hidden projects...</summary>

- <b><a href="https://github.com/BlazingDB/blazingsql">BlazingSQL</a></b> (🥉22 ·  ⭐ 1.8K · 💀) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/anderskm/gputil">GPUtil</a></b> (🥉22 ·  ⭐ 920 · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/fbcotter/py3nvml">py3nvml</a></b> (🥉22 ·  ⭐ 210 · 💤) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/nicolargo/nvidia-ml-py3">nvidia-ml-py3</a></b> (🥉20 ·  ⭐ 92 · 💀) - Python 3 Bindings for the NVIDIA Management Library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/Santosh-Gupta/SpeedTorch">SpeedTorch</a></b> (🥉15 ·  ⭐ 660 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/stas00/ipyexperiments">ipyexperiments</a></b> (🥉14 ·  ⭐ 150 · 💤) - jupyter/ipython experiment containers for GPU and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code>
</details>
<br>

## Tensorflow Utilities

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries that extend TensorFlow with additional capabilities._

<details><summary><b><a href="https://github.com/tensorflow/datasets">TensorFlow Datasets</a></b> (🥇36 ·  ⭐ 3.5K) - TFDS is a collection of datasets ready to use with.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/datasets) (👨‍💻 270 · 🔀 1.3K · 📋 1.3K - 50% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/tensorflow/datasets
	```
- [PyPi](https://pypi.org/project/tensorflow-datasets) (📥 1.1M / month · 📦 170 · ⏱️ 02.06.2022):
	```
	pip install tensorflow-datasets
	```
- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (📥 9.8K · ⏱️ 06.10.2022):
	```
	conda install -c conda-forge tensorflow-datasets
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/hub">tensorflow-hub</a></b> (🥇36 ·  ⭐ 3.2K) - A library for transfer learning by reusing parts of.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/hub) (👨‍💻 97 · 🔀 1.7K · 📦 14K · 📋 660 - 2% open · ⏱️ 28.10.2022):

	```
	git clone https://github.com/tensorflow/hub
	```
- [PyPi](https://pypi.org/project/tensorflow-hub) (📥 3.7M / month · 📦 300 · ⏱️ 14.04.2021):
	```
	pip install tensorflow-hub
	```
- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (📥 71K · ⏱️ 18.04.2021):
	```
	conda install -c conda-forge tensorflow-hub
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/addons">TF Addons</a></b> (🥇36 ·  ⭐ 1.6K) - Useful extra functionality for TensorFlow 2.x maintained by.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/addons) (👨‍💻 200 · 🔀 590 · 📦 7.7K · 📋 970 - 25% open · ⏱️ 11.10.2022):

	```
	git clone https://github.com/tensorflow/addons
	```
- [PyPi](https://pypi.org/project/tensorflow-addons) (📥 1.5M / month · 📦 180 · ⏱️ 14.06.2022):
	```
	pip install tensorflow-addons
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/tensor2tensor">tensor2tensor</a></b> (🥈33 ·  ⭐ 13K · 📉) - Library of deep learning models and datasets designed.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/tensor2tensor) (👨‍💻 240 · 🔀 3.1K · 📦 1.2K · 📋 1.3K - 46% open · ⏱️ 24.10.2022):

	```
	git clone https://github.com/tensorflow/tensor2tensor
	```
- [PyPi](https://pypi.org/project/tensor2tensor) (📥 13K / month · 📦 93 · ⏱️ 17.06.2020):
	```
	pip install tensor2tensor
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/tfx">TFX</a></b> (🥈33 ·  ⭐ 1.9K) - TFX is an end-to-end platform for deploying production ML pipelines. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/tfx) (👨‍💻 150 · 🔀 620 · 📋 840 - 26% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/tensorflow/tfx
	```
- [PyPi](https://pypi.org/project/tfx) (📥 390K / month · 📦 13 · ⏱️ 26.05.2022):
	```
	pip install tfx
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/transform">TensorFlow Transform</a></b> (🥈33 ·  ⭐ 940) - Input pipeline framework. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/transform) (👨‍💻 27 · 🔀 200 · 📦 1.1K · 📋 190 - 19% open · ⏱️ 27.10.2022):

	```
	git clone https://github.com/tensorflow/transform
	```
- [PyPi](https://pypi.org/project/tensorflow-transform) (📥 4M / month · 📦 56 · ⏱️ 29.06.2022):
	```
	pip install tensorflow-transform
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/model-optimization">TF Model Optimization</a></b> (🥈32 ·  ⭐ 1.3K) - A toolkit to optimize ML models for deployment for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/model-optimization) (👨‍💻 73 · 🔀 300 · 📦 2.2K · 📋 340 - 53% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/tensorflow/model-optimization
	```
- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 160K / month · 📦 21 · ⏱️ 18.03.2022):
	```
	pip install tensorflow-model-optimization
	```
</details>
<details><summary><b><a href="https://github.com/keras-team/keras-preprocessing">Keras-Preprocessing</a></b> (🥉29 ·  ⭐ 1K · 💤) - Utilities for working with image data, text data, and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/keras-team/keras-preprocessing) (👨‍💻 52 · 🔀 440 · 📋 200 - 47% open · ⏱️ 17.02.2022):

	```
	git clone https://github.com/keras-team/keras-preprocessing
	```
- [PyPi](https://pypi.org/project/keras-preprocessing) (📥 9.1M / month · 📦 1.5K · ⏱️ 14.05.2020):
	```
	pip install keras-preprocessing
	```
- [Conda](https://anaconda.org/conda-forge/keras-preprocessing) (📥 1.6M · ⏱️ 15.01.2021):
	```
	conda install -c conda-forge keras-preprocessing
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/io">TensorFlow I/O</a></b> (🥉29 ·  ⭐ 590) - Dataset, streaming, and file system extensions.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/io) (👨‍💻 95 · 🔀 250 · 📋 560 - 38% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/tensorflow/io
	```
- [PyPi](https://pypi.org/project/tensorflow-io) (📥 760K / month · 📦 26 · ⏱️ 18.05.2022):
	```
	pip install tensorflow-io
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/neural-structured-learning">Neural Structured Learning</a></b> (🥉27 ·  ⭐ 950) - Training neural models with structured signals. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/neural-structured-learning) (👨‍💻 36 · 🔀 180 · 📦 270 · 📋 68 - 4% open · ⏱️ 18.10.2022):

	```
	git clone https://github.com/tensorflow/neural-structured-learning
	```
- [PyPi](https://pypi.org/project/neural-structured-learning) (📥 14K / month · 📦 3 · ⏱️ 18.08.2020):
	```
	pip install neural-structured-learning
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/cloud">TensorFlow Cloud</a></b> (🥉25 ·  ⭐ 330) - The TensorFlow Cloud repository provides APIs that.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/cloud) (👨‍💻 27 · 🔀 72 · 📦 180 · 📋 86 - 68% open · ⏱️ 11.10.2022):

	```
	git clone https://github.com/tensorflow/cloud
	```
- [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 110K / month · 📦 1 · ⏱️ 17.06.2021):
	```
	pip install tensorflow-cloud
	```
</details>
<details><summary><b><a href="https://github.com/PAIR-code/saliency">Saliency</a></b> (🥉23 ·  ⭐ 840) - Framework-agnostic implementation for state-of-the-art saliency.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/PAIR-code/saliency) (👨‍💻 16 · 🔀 180 · 📦 47 · 📋 29 - 10% open · ⏱️ 13.05.2022):

	```
	git clone https://github.com/PAIR-code/saliency
	```
- [PyPi](https://pypi.org/project/saliency) (📥 1.9K / month · 📦 3 · ⏱️ 14.06.2022):
	```
	pip install saliency
	```
</details>
<details><summary><b><a href="https://github.com/tensorflow/compression">TF Compression</a></b> (🥉22 ·  ⭐ 690) - Data compression in TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/tensorflow/compression) (👨‍💻 18 · 🔀 230 · 📋 94 - 8% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/tensorflow/compression
	```
- [PyPi](https://pypi.org/project/tensorflow-compression) (📥 7K / month · 📦 1 · ⏱️ 30.05.2022):
	```
	pip install tensorflow-compression
	```
</details>
<details><summary><b><a href="https://github.com/geffy/tffm">tffm</a></b> (🥉20 ·  ⭐ 780 · 💤) - TensorFlow implementation of an arbitrary order Factorization Machine. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/geffy/tffm) (👨‍💻 10 · 🔀 190 · 📦 11 · 📋 40 - 45% open · ⏱️ 17.01.2022):

	```
	git clone https://github.com/geffy/tffm
	```
- [PyPi](https://pypi.org/project/tffm) (📥 1.4K / month · 📦 1 · ⏱️ 17.01.2022):
	```
	pip install tffm
	```
</details>
<details><summary>Show 2 hidden projects...</summary>

- <b><a href="https://github.com/qubvel/efficientnet">efficientnet</a></b> (🥉25 ·  ⭐ 2K · 💀) - Implementation of EfficientNet model. Keras and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/taehoonlee/tensornets">TensorNets</a></b> (🥉20 ·  ⭐ 1K · 💀) - High level network definitions with pre-trained weights in.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
</details>
<br>

## Jax Utilities

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries that extend Jax with additional capabilities._

<details><summary><b><a href="https://github.com/patrick-kidger/equinox">equinox</a></b> (🥇25 ·  ⭐ 860) - Callable PyTrees and filtered transforms = neural networks in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/patrick-kidger/equinox) (👨‍💻 15 · 🔀 47 · 📦 59 · 📋 110 - 21% open · ⏱️ 04.11.2022):

	```
	git clone https://github.com/patrick-kidger/equinox
	```
- [PyPi](https://pypi.org/project/equinox) (📥 11K / month · 📦 6 · ⏱️ 05.07.2022):
	```
	pip install equinox
	```
</details>
<details><summary><b><a href="https://github.com/google/evojax">evojax</a></b> (🥉19 ·  ⭐ 570) - EvoJAX: Hardware-accelerated Neuroevolution. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/google/evojax) (👨‍💻 12 · 🔀 47 · 📦 1 · 📋 14 - 28% open · ⏱️ 07.11.2022):

	```
	git clone https://github.com/google/evojax
	```
- [PyPi](https://pypi.org/project/evojax) (📥 900 / month · ⏱️ 15.06.2022):
	```
	pip install evojax
	```
- [Conda](https://anaconda.org/conda-forge/evojax) (📥 10K · ⏱️ 05.10.2022):
	```
	conda install -c conda-forge evojax
	```
</details>
<details><summary>Show 1 hidden projects...</summary>

- <b><a href="https://github.com/ucl-bug/jaxdf">jaxdf</a></b> (🥉9 ·  ⭐ 62) - A JAX-based research framework for writing differentiable.. <code><a href="http://bit.ly/37RvQcA">❗️LGPL-3.0</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code>
</details>
<br>

## Sklearn Utilities

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries that extend scikit-learn with additional capabilities._

<details><summary><b><a href="https://github.com/rasbt/mlxtend">MLxtend</a></b> (🥇36 ·  ⭐ 4.1K) - A library of extension and helper modules for Pythons data.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/rasbt/mlxtend) (👨‍💻 88 · 🔀 780 · 📦 7.2K · 📋 440 - 28% open · ⏱️ 12.10.2022):

	```
	git clone https://github.com/rasbt/mlxtend
	```
- [PyPi](https://pypi.org/project/mlxtend) (📥 1.8M / month · 📦 160 · ⏱️ 27.05.2022):
	```
	pip install mlxtend
	```
- [Conda](https://anaconda.org/conda-forge/mlxtend) (📥 240K · ⏱️ 17.09.2022):
	```
	conda install -c conda-forge mlxtend
	```
</details>
<details><summary><b><a href="https://github.com/scikit-learn-contrib/imbalanced-learn">imbalanced-learn</a></b> (🥇34 ·  ⭐ 6.1K) - A Python Package to Tackle the Curse of Imbalanced.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (👨‍💻 63 · 🔀 1.2K · 📦 13K · 📋 530 - 11% open · ⏱️ 16.05.2022):

	```
	git clone https://github.com/scikit-learn-contrib/imbalanced-learn
	```
- [PyPi](https://pypi.org/project/imbalanced-learn) (📥 3.4M / month · 📦 270 · ⏱️ 16.05.2022):
	```
	pip install imbalanced-learn
	```
- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (📥 290K · ⏱️ 16.05.2022):
	```
	conda install -c conda-forge imbalanced-learn
	```
</details>
<details><summary><b><a href="https://github.com/scikit-learn-contrib/category_encoders">category_encoders</a></b> (🥇34 ·  ⭐ 2.1K) - A library of sklearn compatible categorical variable.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (👨‍💻 56 · 🔀 370 · 📦 4.1K · 📋 260 - 23% open · ⏱️ 01.11.2022):

	```
	git clone https://github.com/scikit-learn-contrib/category_encoders
	```
- [PyPi](https://pypi.org/project/category_encoders) (📥 940K / month · 📦 120 · ⏱️ 02.06.2022):
	```
	pip install category_encoders
	```
- [Conda](https://anaconda.org/conda-forge/category_encoders) (📥 190K · ⏱️ 06.10.2022):
	```
	conda install -c conda-forge category_encoders
	```
</details>
<details><summary><b><a href="https://github.com/intel/scikit-learn-intelex">scikit-learn-intelex</a></b> (🥈30 ·  ⭐ 820) - Intel(R) Extension for Scikit-learn is a seamless way.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/intel/scikit-learn-intelex) (👨‍💻 60 · 🔀 130 · 📦 3.3K · 📋 200 - 54% open · ⏱️ 27.10.2022):

	```
	git clone https://github.com/intel/scikit-learn-intelex
	```
- [PyPi](https://pypi.org/project/scikit-learn-intelex) (📥 110K / month · 📦 6 · ⏱️ 16.06.2022):
	```
	pip install scikit-learn-intelex
	```
- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (📥 90K · ⏱️ 20.09.2022):
	```
	conda install -c conda-forge scikit-learn-intelex
	```
</details>
<details><summary><b><a href="https://github.com/scikit-multilearn/scikit-multilearn">scikit-multilearn</a></b> (🥈27 ·  ⭐ 800) - A scikit-learn based module for multi-label et. al... <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (👨‍💻 17 · 🔀 150 · 📦 880 · 📋 200 - 53% open · ⏱️ 09.07.2022):

	```
	git clone https://github.com/scikit-multilearn/scikit-multilearn
	```
- [PyPi](https://pypi.org/project/scikit-multilearn) (📥 93K / month · 📦 18 · ⏱️ 10.12.2018):
	```
	pip install scikit-multilearn
	```
</details>
<details><summary><b><a href="https://github.com/koaning/scikit-lego">scikit-lego</a></b> (🥈26 ·  ⭐ 920) - Extra blocks for scikit-learn pipelines. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/koaning/scikit-lego) (👨‍💻 56 · 🔀 99 · 📦 67 · 📋 260 - 9% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/koaning/scikit-lego
	```
- [PyPi](https://pypi.org/project/scikit-lego) (📥 26K / month · 📦 7 · ⏱️ 05.06.2022):
	```
	pip install scikit-lego
	```
- [Conda](https://anaconda.org/conda-forge/scikit-lego) (📥 27K · ⏱️ 03.11.2022):
	```
	conda install -c conda-forge scikit-lego
	```
</details>
<details><summary><b><a href="https://github.com/guofei9987/scikit-opt">scikit-opt</a></b> (🥉24 ·  ⭐ 3.6K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/guofei9987/scikit-opt) (👨‍💻 16 · 🔀 830 · 📦 91 · 📋 160 - 31% open · ⏱️ 15.07.2022):

	```
	git clone https://github.com/guofei9987/scikit-opt
	```
- [PyPi](https://pypi.org/project/scikit-opt) (📥 2.8K / month · 📦 6 · ⏱️ 14.01.2022):
	```
	pip install scikit-opt
	```
</details>
<details><summary><b><a href="https://github.com/scikit-learn-contrib/lightning">sklearn-contrib-lightning</a></b> (🥉23 ·  ⭐ 1.6K · 💤) - Large-scale linear classification, regression and.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/scikit-learn-contrib/lightning) (👨‍💻 17 · 🔀 210 · 📥 240 · 📦 110 · 📋 96 - 56% open · ⏱️ 30.01.2022):

	```
	git clone https://github.com/scikit-learn-contrib/lightning
	```
- [PyPi](https://pypi.org/project/sklearn-contrib-lightning) (📥 1.7K / month · 📦 6 · ⏱️ 30.01.2022):
	```
	pip install sklearn-contrib-lightning
	```
- [Conda](https://anaconda.org/conda-forge/sklearn-contrib-lightning) (📥 180K · ⏱️ 31.10.2022):
	```
	conda install -c conda-forge sklearn-contrib-lightning
	```
</details>
<details><summary><b><a href="https://github.com/yzhao062/combo">combo</a></b> (🥉21 ·  ⭐ 600) - (AAAI 20) A Python Toolbox for Machine Learning Model Combination. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> <code>xgboost</code></summary>

- [GitHub](https://github.com/yzhao062/combo) (👨‍💻 2 · 🔀 100 · 📦 490 · 📋 14 - 78% open · ⏱️ 07.07.2022):

	```
	git clone https://github.com/yzhao062/combo
	```
- [PyPi](https://pypi.org/project/combo) (📥 46K / month · 📦 4 · ⏱️ 02.04.2022):
	```
	pip install combo
	```
</details>
<details><summary><b><a href="https://github.com/trent-b/iterative-stratification">iterative-stratification</a></b> (🥉20 ·  ⭐ 730) - scikit-learn cross validators for iterative.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/trent-b/iterative-stratification) (👨‍💻 7 · 🔀 65 · 📦 240 · 📋 23 - 17% open · ⏱️ 06.06.2022):

	```
	git clone https://github.com/trent-b/iterative-stratification
	```
- [PyPi](https://pypi.org/project/iterative-stratification) (📥 59K / month · 📦 10 · ⏱️ 03.10.2021):
	```
	pip install iterative-stratification
	```
</details>
<details><summary><b><a href="https://github.com/scikit-learn-contrib/DESlib">DESlib</a></b> (🥉18 ·  ⭐ 420) - A Python library for dynamic classifier and ensemble selection. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (👨‍💻 14 · 🔀 73 · 📦 34 · 📋 150 - 10% open · ⏱️ 07.06.2022):

	```
	git clone https://github.com/scikit-learn-contrib/DESlib
	```
- [PyPi](https://pypi.org/project/deslib) (📥 660 / month · 📦 2 · ⏱️ 08.02.2021):
	```
	pip install deslib
	```
</details>
<details><summary><b><a href="https://github.com/scikit-tda/scikit-tda">scikit-tda</a></b> (🥉17 ·  ⭐ 370 · 💤) - Topological Data Analysis for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/scikit-tda/scikit-tda) (👨‍💻 4 · 🔀 45 · 📦 36 · 📋 19 - 78% open · ⏱️ 13.03.2022):

	```
	git clone https://github.com/scikit-tda/scikit-tda
	```
- [PyPi](https://pypi.org/project/scikit-tda) (📥 1.2K / month · ⏱️ 03.08.2021):
	```
	pip install scikit-tda
	```
</details>
<details><summary>Show 7 hidden projects...</summary>

- <b><a href="https://github.com/sebp/scikit-survival">scikit-survival</a></b> (🥈27 ·  ⭐ 850) - Survival analysis built on top of scikit-learn. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/iskandr/fancyimpute">fancyimpute</a></b> (🥈26 ·  ⭐ 1.1K · 💀) - Multivariate imputation and matrix completion.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/TeamHG-Memex/sklearn-crfsuite">sklearn-crfsuite</a></b> (🥈26 ·  ⭐ 410 · 💀) - scikit-learn inspired API for CRFsuite. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/scikit-learn-contrib/skope-rules">skope-rules</a></b> (🥉21 ·  ⭐ 490 · 💀) - machine learning with logical rules in Python. <code><a href="https://tldrlegal.com/search?q=BSD-1-Clause">❗️BSD-1-Clause</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/mathurinm/celer">celer</a></b> (🥉19 ·  ⭐ 160) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/skggm/skggm">skggm</a></b> (🥉17 ·  ⭐ 210 · 💤) - Scikit-learn compatible estimation of general graphical models. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/amueller/dabl">dabl</a></b> (🥉17 ·  ⭐ 120 · 💀) - Data Analysis Baseline Library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
</details>
<br>

## Pytorch Utilities

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries that extend Pytorch with additional capabilities._

<details><summary><b><a href="https://github.com/huggingface/accelerate">accelerate</a></b> (🥇34 ·  ⭐ 3.2K) - A simple way to train and use PyTorch models with multi-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/huggingface/accelerate) (👨‍💻 72 · 🔀 260 · 📦 1.3K · 📋 400 - 10% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/huggingface/accelerate
	```
- [PyPi](https://pypi.org/project/accelerate) (📥 650K / month · 📦 23 · ⏱️ 15.06.2022):
	```
	pip install accelerate
	```
- [Conda](https://anaconda.org/conda-forge/accelerate) (📥 10K · ⏱️ 18.10.2022):
	```
	conda install -c conda-forge accelerate
	```
</details>
<details><summary><b><a href="https://github.com/KevinMusgrave/pytorch-metric-learning">PML</a></b> (🥇31 ·  ⭐ 4.8K) - The easiest way to use deep metric learning in your application. Modular,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (👨‍💻 29 · 🔀 590 · 📦 370 · 📋 400 - 13% open · ⏱️ 01.11.2022):

	```
	git clone https://github.com/KevinMusgrave/pytorch-metric-learning
	```
- [PyPi](https://pypi.org/project/pytorch-metric-learning) (📥 150K / month · 📦 12 · ⏱️ 29.06.2022):
	```
	pip install pytorch-metric-learning
	```
- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (📥 8.9K · ⏱️ 01.11.2022):
	```
	conda install -c metric-learning pytorch-metric-learning
	```
</details>
<details><summary><b><a href="https://github.com/rtqichen/torchdiffeq">torchdiffeq</a></b> (🥇29 ·  ⭐ 4.3K) - Differentiable ODE solvers with full GPU support and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/rtqichen/torchdiffeq) (👨‍💻 21 · 🔀 740 · 📦 500 · 📋 180 - 23% open · ⏱️ 10.08.2022):

	```
	git clone https://github.com/rtqichen/torchdiffeq
	```
- [PyPi](https://pypi.org/project/torchdiffeq) (📥 960K / month · 📦 20 · ⏱️ 22.04.2022):
	```
	pip install torchdiffeq
	```
- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (📥 8.2K · ⏱️ 03.06.2021):
	```
	conda install -c conda-forge torchdiffeq
	```
</details>
<details><summary><b><a href="https://github.com/Lightning-AI/lightning-flash">lightning-flash</a></b> (🥇29 ·  ⭐ 1.6K) - Your PyTorch AI Factory - Flash enables you to easily.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/Lightning-AI/lightning-flash) (👨‍💻 79 · 🔀 190 · 📦 130 · 📋 490 - 4% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/Lightning-AI/lightning-flash
	```
- [PyPi](https://pypi.org/project/lightning-flash) (📥 4K / month · 📦 3 · ⏱️ 11.05.2022):
	```
	pip install lightning-flash
	```
- [Conda](https://anaconda.org/conda-forge/lightning-flash) (📥 8K · ⏱️ 08.11.2022):
	```
	conda install -c conda-forge lightning-flash
	```
</details>
<details><summary><b><a href="https://github.com/jettify/pytorch-optimizer">pytorch-optimizer</a></b> (🥈27 ·  ⭐ 2.6K · 💤) - torch-optimizer -- collection of optimizers for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/jettify/pytorch-optimizer) (👨‍💻 25 · 🔀 250 · 📦 720 · 📋 53 - 43% open · ⏱️ 11.11.2021):

	```
	git clone https://github.com/jettify/pytorch-optimizer
	```
- [PyPi](https://pypi.org/project/torch_optimizer) (📥 49K / month · 📦 23 · ⏱️ 31.10.2021):
	```
	pip install torch_optimizer
	```
- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (📥 5.6K · ⏱️ 31.10.2021):
	```
	conda install -c conda-forge torch-optimizer
	```
</details>
<details><summary><b><a href="https://github.com/geohot/tinygrad">tinygrad</a></b> (🥈26 ·  ⭐ 8.7K · 📈) - You like pytorch? You like micrograd? You love tinygrad!. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/geohot/tinygrad) (👨‍💻 69 · 🔀 780 · 📦 3 · 📋 130 - 14% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/geohot/tinygrad
	```
</details>
<details><summary><b><a href="https://github.com/rusty1s/pytorch_scatter">torch-scatter</a></b> (🥈25 ·  ⭐ 1.1K) - PyTorch Extension Library of Optimized Scatter Operations. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨‍💻 23 · 🔀 140 · 📋 290 - 9% open · ⏱️ 29.10.2022):

	```
	git clone https://github.com/rusty1s/pytorch_scatter
	```
- [PyPi](https://pypi.org/project/torch-scatter) (📥 39K / month · 📦 53 · ⏱️ 22.10.2021):
	```
	pip install torch-scatter
	```
- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (📥 130K · ⏱️ 28.07.2022):
	```
	conda install -c conda-forge pytorch_scatter
	```
</details>
<details><summary><b><a href="https://github.com/rusty1s/pytorch_sparse">PyTorch Sparse</a></b> (🥈25 ·  ⭐ 730) - PyTorch Extension Library of Optimized Autograd Sparse.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/rusty1s/pytorch_sparse) (👨‍💻 34 · 🔀 110 · 📋 220 - 13% open · ⏱️ 17.10.2022):

	```
	git clone https://github.com/rusty1s/pytorch_sparse
	```
- [PyPi](https://pypi.org/project/torch-sparse) (📥 30K / month · 📦 47 · ⏱️ 30.06.2022):
	```
	pip install torch-sparse
	```
- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (📥 150K · ⏱️ 23.08.2022):
	```
	conda install -c conda-forge pytorch_sparse
	```
</details>
<details><summary><b><a href="https://github.com/dreamquark-ai/tabnet">TabNet</a></b> (🥈24 ·  ⭐ 1.9K) - PyTorch implementation of TabNet paper :.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/dreamquark-ai/tabnet) (👨‍💻 19 · 🔀 390 · 📋 270 - 15% open · ⏱️ 27.06.2022):

	```
	git clone https://github.com/dreamquark-ai/tabnet
	```
- [PyPi](https://pypi.org/project/pytorch-tabnet) (📥 31K / month · 📦 9 · ⏱️ 02.02.2021):
	```
	pip install pytorch-tabnet
	```
- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (📥 2.4K · ⏱️ 30.12.2021):
	```
	conda install -c conda-forge pytorch-tabnet
	```
</details>
<details><summary><b><a href="https://github.com/BloodAxe/pytorch-toolbelt">Pytorch Toolbelt</a></b> (🥈24 ·  ⭐ 1.3K) - PyTorch extensions for fast R&D prototyping and Kaggle.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (👨‍💻 7 · 🔀 110 · 📋 27 - 11% open · ⏱️ 25.10.2022):

	```
	git clone https://github.com/BloodAxe/pytorch-toolbelt
	```
- [PyPi](https://pypi.org/project/pytorch_toolbelt) (📥 7.3K / month · 📦 6 · ⏱️ 27.06.2022):
	```
	pip install pytorch_toolbelt
	```
</details>
<details><summary><b><a href="https://github.com/lucidrains/reformer-pytorch">reformer-pytorch</a></b> (🥉20 ·  ⭐ 1.8K) - Reformer, the efficient Transformer, in Pytorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/lucidrains/reformer-pytorch) (👨‍💻 11 · 🔀 240 · 📋 120 - 11% open · ⏱️ 24.06.2022):

	```
	git clone https://github.com/lucidrains/reformer-pytorch
	```
- [PyPi](https://pypi.org/project/reformer-pytorch) (📥 1.3K / month · ⏱️ 06.11.2021):
	```
	pip install reformer-pytorch
	```
</details>
<details><summary><b><a href="https://github.com/lucidrains/performer-pytorch">Performer Pytorch</a></b> (🥉20 ·  ⭐ 890 · 💤) - An implementation of Performer, a linear attention-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/lucidrains/performer-pytorch) (👨‍💻 6 · 🔀 130 · 📦 65 · 📋 79 - 45% open · ⏱️ 02.02.2022):

	```
	git clone https://github.com/lucidrains/performer-pytorch
	```
- [PyPi](https://pypi.org/project/performer-pytorch) (📥 8.5K / month · 📦 4 · ⏱️ 02.02.2022):
	```
	pip install performer-pytorch
	```
</details>
<details><summary><b><a href="https://github.com/harvardnlp/pytorch-struct">Torch-Struct</a></b> (🥉19 ·  ⭐ 1K · 💤) - Fast, general, and tested differentiable structured.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/harvardnlp/pytorch-struct) (👨‍💻 16 · 🔀 85 · 📋 54 - 44% open · ⏱️ 30.01.2022):

	```
	git clone https://github.com/harvardnlp/pytorch-struct
	```
- [PyPi](https://pypi.org/project/torch-struct) (📥 69K / month · ⏱️ 14.02.2021):
	```
	pip install torch-struct
	```
</details>
<details><summary><b><a href="https://github.com/abhishekkrthakur/tez">Tez</a></b> (🥉17 ·  ⭐ 1.1K) - Tez is a super-simple and lightweight Trainer for PyTorch. It also.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/abhishekkrthakur/tez) (👨‍💻 2 · 🔀 140 · 📦 35 · 📋 40 - 55% open · ⏱️ 16.09.2022):

	```
	git clone https://github.com/abhishekkrthakur/tez
	```
- [PyPi](https://pypi.org/project/tez) (📥 920 / month · 📦 2 · ⏱️ 05.06.2022):
	```
	pip install tez
	```
</details>
<details><summary><b><a href="https://github.com/parrt/tensor-sensor">Tensor Sensor</a></b> (🥉16 ·  ⭐ 690 · 💤) - The goal of this library is to generate more helpful.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/parrt/tensor-sensor) (👨‍💻 4 · 🔀 35 · 📦 8 · 📋 24 - 33% open · ⏱️ 07.04.2022):

	```
	git clone https://github.com/parrt/tensor-sensor
	```
- [PyPi](https://pypi.org/project/tensor-sensor) (📥 1.9K / month · ⏱️ 11.12.2021):
	```
	pip install tensor-sensor
	```
- [Conda](https://anaconda.org/conda-forge/tensor-sensor) (📥 1.5K · ⏱️ 11.12.2021):
	```
	conda install -c conda-forge tensor-sensor
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/madgrad">madgrad</a></b> (🥉15 ·  ⭐ 770 · 💤) - MADGRAD Optimization Method. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/facebookresearch/madgrad) (👨‍💻 2 · 🔀 55 · 📦 36 · 📋 8 - 12% open · ⏱️ 10.03.2022):

	```
	git clone https://github.com/facebookresearch/madgrad
	```
- [PyPi](https://pypi.org/project/madgrad) (📥 7.2K / month · ⏱️ 08.03.2022):
	```
	pip install madgrad
	```
</details>
<details><summary>Show 16 hidden projects...</summary>

- <b><a href="https://github.com/Cadene/pretrained-models.pytorch">pretrainedmodels</a></b> (🥇31 ·  ⭐ 8.6K · 💀) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/sksq96/pytorch-summary">pytorch-summary</a></b> (🥈28 ·  ⭐ 3.7K · 💀) - Model summary in PyTorch similar to `model.summary()`.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/lukemelas/EfficientNet-PyTorch">EfficientNet-PyTorch</a></b> (🥈26 ·  ⭐ 7.2K · 💀) - A PyTorch implementation of EfficientNet and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/tristandeleu/pytorch-meta">Torchmeta</a></b> (🥈24 ·  ⭐ 1.7K · 💀) - A collection of extensions and data-loaders for few-shot.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/asappresearch/sru">SRU</a></b> (🥉23 ·  ⭐ 2.1K · 💀) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/rwightman/gen-efficientnet-pytorch">EfficientNets</a></b> (🥉23 ·  ⭐ 1.5K · 💀) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/facebookresearch/higher">Higher</a></b> (🥉22 ·  ⭐ 1.5K · 💀) - higher is a pytorch library allowing users to obtain higher.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/google-research/torchsde">torchsde</a></b> (🥉22 ·  ⭐ 1.1K · 💀) - Differentiable SDE solvers with GPU support and efficient.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/GRAAL-Research/poutyne">Poutyne</a></b> (🥉21 ·  ⭐ 530) - A simplified framework and utilities for PyTorch. <code><a href="http://bit.ly/37RvQcA">❗️LGPL-3.0</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/Luolc/AdaBound">AdaBound</a></b> (🥉20 ·  ⭐ 2.9K · 💀) - An optimizer that trains as fast as Adam and as good as SGD. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/adobe/antialiased-cnns">Antialiased CNNs</a></b> (🥉20 ·  ⭐ 1.6K · 💀) - pip install antialiased-cnns to improve stability and.. <code><a href="https://tldrlegal.com/search?q=CC%20BY-NC-SA%204.0">❗️CC BY-NC-SA 4.0</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/szagoruyko/pytorchviz">pytorchviz</a></b> (🥉18 ·  ⭐ 2.4K · 💀) - A small package to create visualizations of PyTorch execution.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/karpathy/micrograd">micrograd</a></b> (🥉17 ·  ⭐ 3.2K · 💀) - A tiny scalar-valued autograd engine and a neural net library.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/lucidrains/lambda-networks">Lambda Networks</a></b> (🥉17 ·  ⭐ 1.5K · 💀) - Implementation of LambdaNetworks, a new approach to.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/achaiah/pywick">Pywick</a></b> (🥉15 ·  ⭐ 380 · 💀) - High-level batteries-included neural network training library for.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/TorchDrift/TorchDrift">TorchDrift</a></b> (🥉13 ·  ⭐ 260) - Drift Detection for your PyTorch Models. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
</details>
<br>

## Database Clients

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

_Libraries for connecting to, operating, and querying databases._

🔗&nbsp;<b><a href="https://github.com/ml-tooling/best-of-python#database-clients">best-of-python - DB Clients</a></b> ( ⭐ 2.6K)  - Collection of database clients for python.

<br>

## Others

<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>

<details><summary><b><a href="https://github.com/scipy/scipy">scipy</a></b> (🥇49 ·  ⭐ 10K) - Ecosystem of open-source software for mathematics, science, and engineering. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/scipy/scipy) (👨‍💻 1.4K · 🔀 4.5K · 📥 360K · 📦 590K · 📋 8.9K - 18% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/scipy/scipy
	```
- [PyPi](https://pypi.org/project/scipy) (📥 47M / month · 📦 58K · ⏱️ 20.10.2022):
	```
	pip install scipy
	```
- [Conda](https://anaconda.org/conda-forge/scipy) (📥 30M · ⏱️ 09.11.2022):
	```
	conda install -c conda-forge scipy
	```
</details>
<details><summary><b><a href="https://github.com/sympy/sympy">SymPy</a></b> (🥇47 ·  ⭐ 9.8K · 📈) - A computer algebra system written in pure Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/sympy/sympy) (👨‍💻 1.2K · 🔀 3.8K · 📥 470K · 📦 48K · 📋 13K - 35% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/sympy/sympy
	```
- [PyPi](https://pypi.org/project/sympy) (📥 3.3M / month · 📦 4.2K · ⏱️ 20.03.2022):
	```
	pip install sympy
	```
- [Conda](https://anaconda.org/conda-forge/sympy) (📥 2.6M · ⏱️ 27.10.2022):
	```
	conda install -c conda-forge sympy
	```
</details>
<details><summary><b><a href="https://github.com/streamlit/streamlit">Streamlit</a></b> (🥇41 ·  ⭐ 21K) - Streamlit The fastest way to build data apps in Python. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/streamlit/streamlit) (👨‍💻 160 · 🔀 1.9K · 📦 470 · 📋 2.8K - 19% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/streamlit/streamlit
	```
- [PyPi](https://pypi.org/project/streamlit) (📥 920K / month · 📦 420 · ⏱️ 27.07.2022):
	```
	pip install streamlit
	```
</details>
<details><summary><b><a href="https://github.com/PaddlePaddle/PaddleHub">PaddleHub</a></b> (🥇36 ·  ⭐ 11K) - Awesome pre-trained models toolkit based on PaddlePaddle... <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (👨‍💻 67 · 🔀 1.9K · 📥 580 · 📦 1K · 📋 1.2K - 44% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/PaddlePaddle/PaddleHub
	```
- [PyPi](https://pypi.org/project/paddlehub) (📥 11K / month · 📦 6 · ⏱️ 28.12.2021):
	```
	pip install paddlehub
	```
</details>
<details><summary><b><a href="https://github.com/yzhao062/pyod">PyOD</a></b> (🥇35 ·  ⭐ 6.4K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>

- [GitHub](https://github.com/yzhao062/pyod) (👨‍💻 44 · 🔀 1.2K · 📦 1.7K · 📋 280 - 50% open · ⏱️ 24.10.2022):

	```
	git clone https://github.com/yzhao062/pyod
	```
- [PyPi](https://pypi.org/project/pyod) (📥 510K / month · 📦 34 · ⏱️ 05.07.2022):
	```
	pip install pyod
	```
- [Conda](https://anaconda.org/conda-forge/pyod) (📥 44K · ⏱️ 24.10.2022):
	```
	conda install -c conda-forge pyod
	```
</details>
<details><summary><b><a href="https://github.com/gradio-app/gradio">Gradio</a></b> (🥇34 ·  ⭐ 11K) - Wrap UIs around any model, share with anyone. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/gradio-app/gradio) (👨‍💻 110 · 🔀 660 · 📋 1.3K - 18% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/gradio-app/gradio
	```
- [PyPi](https://pypi.org/project/gradio) (📥 1M / month · 📦 22 · ⏱️ 04.07.2022):
	```
	pip install gradio
	```
</details>
<details><summary><b><a href="https://github.com/simonw/datasette">Datasette</a></b> (🥇33 ·  ⭐ 6.6K) - An open source multi-tool for exploring and publishing data. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/simonw/datasette) (👨‍💻 70 · 🔀 460 · 📥 41 · 📦 780 · 📋 1.5K - 29% open · ⏱️ 03.11.2022):

	```
	git clone https://github.com/simonw/datasette
	```
- [PyPi](https://pypi.org/project/datasette) (📥 220K / month · 📦 160 · ⏱️ 02.05.2022):
	```
	pip install datasette
	```
- [Conda](https://anaconda.org/conda-forge/datasette) (📥 13K · ⏱️ 28.10.2022):
	```
	conda install -c conda-forge datasette
	```
</details>
<details><summary><b><a href="https://github.com/HIPS/autograd">Autograd</a></b> (🥇33 ·  ⭐ 6.1K) - Efficiently computes derivatives of numpy code. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/HIPS/autograd) (👨‍💻 52 · 🔀 840 · 📦 4.1K · 📋 400 - 42% open · ⏱️ 29.09.2022):

	```
	git clone https://github.com/HIPS/autograd
	```
- [PyPi](https://pypi.org/project/autograd) (📥 1.1M / month · 📦 290 · ⏱️ 08.04.2022):
	```
	pip install autograd
	```
- [Conda](https://anaconda.org/conda-forge/autograd) (📥 240K · ⏱️ 03.10.2022):
	```
	conda install -c conda-forge autograd
	```
</details>
<details><summary><b><a href="https://github.com/deepchem/deepchem">DeepChem</a></b> (🥇33 ·  ⭐ 4K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/deepchem/deepchem) (👨‍💻 200 · 🔀 1.4K · 📦 140 · 📋 1.5K - 32% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/deepchem/deepchem
	```
- [PyPi](https://pypi.org/project/deepchem) (📥 8.7K / month · 📦 6 · ⏱️ 06.07.2022):
	```
	pip install deepchem
	```
- [Conda](https://anaconda.org/conda-forge/deepchem) (📥 60K · ⏱️ 19.01.2022):
	```
	conda install -c conda-forge deepchem
	```
</details>
<details><summary><b><a href="https://github.com/serge-sans-paille/pythran">Pythran</a></b> (🥇33 ·  ⭐ 1.8K) - Ahead of Time compiler for numeric kernels. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/serge-sans-paille/pythran) (👨‍💻 67 · 🔀 180 · 📦 320 · 📋 780 - 15% open · ⏱️ 02.11.2022):

	```
	git clone https://github.com/serge-sans-paille/pythran
	```
- [PyPi](https://pypi.org/project/pythran) (📥 610K / month · 📦 17 · ⏱️ 14.12.2021):
	```
	pip install pythran
	```
- [Conda](https://anaconda.org/conda-forge/pythran) (📥 290K · ⏱️ 26.10.2022):
	```
	conda install -c conda-forge pythran
	```
</details>
<details><summary><b><a href="https://github.com/carla-simulator/carla">carla</a></b> (🥈32 ·  ⭐ 8.5K) - Open-source simulator for autonomous driving research. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/carla-simulator/carla) (👨‍💻 140 · 🔀 2.6K · 📦 280 · 📋 4.1K - 17% open · ⏱️ 20.10.2022):

	```
	git clone https://github.com/carla-simulator/carla
	```
- [PyPi](https://pypi.org/project/carla) (📥 25K / month · 📦 3 · ⏱️ 17.11.2021):
	```
	pip install carla
	```
</details>
<details><summary><b><a href="https://github.com/online-ml/river">River</a></b> (🥈32 ·  ⭐ 3.8K) - Online machine learning in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/online-ml/river) (👨‍💻 87 · 🔀 420 · 📦 180 · 📋 380 - 0% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/online-ml/river
	```
- [PyPi](https://pypi.org/project/river) (📥 17K / month · 📦 14 · ⏱️ 06.06.2022):
	```
	pip install river
	```
- [Conda](https://anaconda.org/conda-forge/river) (📥 18K · ⏱️ 31.10.2022):
	```
	conda install -c conda-forge river
	```
</details>
<details><summary><b><a href="https://github.com/scikit-learn-contrib/hdbscan">hdbscan</a></b> (🥈32 ·  ⭐ 2.3K) - A high performance implementation of HDBSCAN clustering. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (👨‍💻 80 · 🔀 430 · 📦 1.6K · 📋 460 - 65% open · ⏱️ 31.10.2022):

	```
	git clone https://github.com/scikit-learn-contrib/hdbscan
	```
- [PyPi](https://pypi.org/project/hdbscan) (📥 440K / month · 📦 160 · ⏱️ 08.02.2022):
	```
	pip install hdbscan
	```
- [Conda](https://anaconda.org/conda-forge/hdbscan) (📥 1.3M · ⏱️ 02.11.2022):
	```
	conda install -c conda-forge hdbscan
	```
</details>
<details><summary><b><a href="https://github.com/inducer/pyopencl">pyopencl</a></b> (🥈32 ·  ⭐ 940) - OpenCL integration for Python, plus shiny features. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/inducer/pyopencl) (👨‍💻 92 · 🔀 230 · 📦 840 · 📋 320 - 21% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/inducer/pyopencl
	```
- [PyPi](https://pypi.org/project/pyopencl) (📥 41K / month · 📦 190 · ⏱️ 22.06.2022):
	```
	pip install pyopencl
	```
- [Conda](https://anaconda.org/conda-forge/pyopencl) (📥 730K · ⏱️ 08.11.2022):
	```
	conda install -c conda-forge pyopencl
	```
</details>
<details><summary><b><a href="https://github.com/datalad/datalad">datalad</a></b> (🥈32 ·  ⭐ 370) - Keep code, data, containers under control with git and git-annex. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/datalad/datalad) (👨‍💻 50 · 🔀 97 · 📋 3.7K - 14% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/datalad/datalad
	```
- [PyPi](https://pypi.org/project/datalad) (📥 11K / month · 📦 57 · ⏱️ 06.07.2022):
	```
	pip install datalad
	```
- [Conda](https://anaconda.org/conda-forge/datalad) (📥 270K · ⏱️ 07.11.2022):
	```
	conda install -c conda-forge datalad
	```
</details>
<details><summary><b><a href="https://github.com/adapter-hub/adapter-transformers">adapter-transformers</a></b> (🥈31 ·  ⭐ 1.1K) - Huggingface Transformers + Adapters =. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code>huggingface</code></summary>

- [GitHub](https://github.com/adapter-hub/adapter-transformers) (👨‍💻 1.4K · 🔀 190 · 📦 96 · 📋 240 - 18% open · ⏱️ 27.10.2022):

	```
	git clone https://github.com/Adapter-Hub/adapter-transformers
	```
- [PyPi](https://pypi.org/project/adapter-transformers) (📥 31K / month · 📦 5 · ⏱️ 18.05.2022):
	```
	pip install adapter-transformers
	```
</details>
<details><summary><b><a href="https://github.com/uber/causalml">causalml</a></b> (🥈30 ·  ⭐ 3.6K) - Uplift modeling and causal inference with machine learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/uber/causalml) (👨‍💻 47 · 🔀 570 · 📦 55 · 📋 300 - 23% open · ⏱️ 21.10.2022):

	```
	git clone https://github.com/uber/causalml
	```
- [PyPi](https://pypi.org/project/causalml) (📥 85K / month · 📦 1 · ⏱️ 14.03.2022):
	```
	pip install causalml
	```
</details>
<details><summary><b><a href="https://github.com/PennyLaneAI/pennylane">PennyLane</a></b> (🥈30 ·  ⭐ 1.6K) - PennyLane is a cross-platform Python library for differentiable.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/PennyLaneAI/pennylane) (👨‍💻 120 · 🔀 410 · 📥 62 · 📋 870 - 29% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/PennyLaneAI/PennyLane
	```
- [PyPi](https://pypi.org/project/pennylane) (📥 20K / month · 📦 34 · ⏱️ 20.06.2022):
	```
	pip install pennylane
	```
- [Conda](https://anaconda.org/conda-forge/pennylane) (📥 5.8K · ⏱️ 01.05.2022):
	```
	conda install -c conda-forge pennylane
	```
</details>
<details><summary><b><a href="https://github.com/tensorly/tensorly">tensorly</a></b> (🥈30 ·  ⭐ 1.3K) - TensorLy: Tensor Learning in Python. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>

- [GitHub](https://github.com/tensorly/tensorly) (👨‍💻 57 · 🔀 250 · 📦 300 · 📋 210 - 23% open · ⏱️ 31.10.2022):

	```
	git clone https://github.com/tensorly/tensorly
	```
- [PyPi](https://pypi.org/project/tensorly) (📥 9.4K / month · 📦 30 · ⏱️ 08.11.2021):
	```
	pip install tensorly
	```
- [Conda](https://anaconda.org/conda-forge/tensorly) (📥 340K · ⏱️ 09.12.2021):
	```
	conda install -c conda-forge tensorly
	```
</details>
<details><summary><b><a href="https://github.com/SeldonIO/alibi-detect">alibi-detect</a></b> (🥈29 ·  ⭐ 1.6K) - Algorithms for outlier, adversarial and drift detection. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/SeldonIO/alibi-detect) (👨‍💻 17 · 🔀 160 · 📦 120 · 📋 300 - 35% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/SeldonIO/alibi-detect
	```
- [PyPi](https://pypi.org/project/alibi-detect) (📥 28K / month · 📦 5 · ⏱️ 01.06.2022):
	```
	pip install alibi-detect
	```
</details>
<details><summary><b><a href="https://github.com/nicodv/kmodes">kmodes</a></b> (🥈29 ·  ⭐ 1.1K) - Python implementations of the k-modes and k-prototypes clustering.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/nicodv/kmodes) (👨‍💻 21 · 🔀 380 · 📦 1.5K · 📋 150 - 11% open · ⏱️ 06.09.2022):

	```
	git clone https://github.com/nicodv/kmodes
	```
- [PyPi](https://pypi.org/project/kmodes) (📥 430K / month · 📦 26 · ⏱️ 14.04.2022):
	```
	pip install kmodes
	```
- [Conda](https://anaconda.org/conda-forge/kmodes) (📥 19K · ⏱️ 06.09.2022):
	```
	conda install -c conda-forge kmodes
	```
</details>
<details><summary><b><a href="https://github.com/deepmind/pysc2">pysc2</a></b> (🥈28 ·  ⭐ 7.6K) - StarCraft II Learning Environment. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/deepmind/pysc2) (👨‍💻 36 · 🔀 1.1K · 📥 29K · 📦 440 · 📋 280 - 18% open · ⏱️ 07.08.2022):

	```
	git clone https://github.com/deepmind/pysc2
	```
- [PyPi](https://pypi.org/project/pysc2) (📥 2.6K / month · 📦 26 · ⏱️ 27.09.2019):
	```
	pip install pysc2
	```
</details>
<details><summary><b><a href="https://github.com/ContinualAI/avalanche">avalanche</a></b> (🥈28 ·  ⭐ 1.1K) - Avalanche: an End-to-End Library for Continual Learning based on.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/ContinualAI/avalanche) (👨‍💻 60 · 🔀 190 · 📥 3 · 📦 15 · 📋 590 - 12% open · ⏱️ 08.11.2022):

	```
	git clone https://github.com/ContinualAI/avalanche
	```
- [PyPi](https://pypi.org/project/avalanche-lib) (📥 660 / month · ⏱️ 14.06.2022):
	```
	pip install avalanche-lib
	```
</details>
<details><summary><b><a href="https://github.com/pyjanitor-devs/pyjanitor">pyjanitor</a></b> (🥈28 ·  ⭐ 1K) - Clean APIs for data cleaning. Python implementation of R package Janitor. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (👨‍💻 100 · 🔀 160 · 📦 240 · 📋 510 - 21% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/pyjanitor-devs/pyjanitor
	```
- [PyPi](https://pypi.org/project/pyjanitor) (📥 41K / month · 📦 12 · ⏱️ 03.05.2022):
	```
	pip install pyjanitor
	```
- [Conda](https://anaconda.org/conda-forge/pyjanitor) (📥 140K · ⏱️ 17.10.2022):
	```
	conda install -c conda-forge pyjanitor
	```
</details>
<details><summary><b><a href="https://github.com/mars-project/mars">Mars</a></b> (🥉27 ·  ⭐ 2.5K) - Mars is a tensor-based unified framework for large-scale data.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/mars-project/mars) (👨‍💻 45 · 🔀 300 · 📋 1.2K - 17% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/mars-project/mars
	```
- [PyPi](https://pypi.org/project/pymars) (📥 26K / month · 📦 1 · ⏱️ 12.06.2022):
	```
	pip install pymars
	```
</details>
<details><summary><b><a href="https://github.com/openvinotoolkit/anomalib">anomalib</a></b> (🥉27 ·  ⭐ 1.4K) - An anomaly detection library comprising state-of-the-art algorithms.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/openvinotoolkit/anomalib) (👨‍💻 27 · 🔀 220 · 📦 4 · 📋 310 - 10% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/openvinotoolkit/anomalib
	```
- [PyPi](https://pypi.org/project/anomalib) (📥 2.9K / month · ⏱️ 05.07.2022):
	```
	pip install anomalib
	```
</details>
<details><summary><b><a href="https://github.com/tableau/TabPy">TabPy</a></b> (🥉27 ·  ⭐ 1.3K) - Execute Python code on the fly and display results in Tableau visualizations:. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/tableau/TabPy) (👨‍💻 46 · 🔀 500 · 📦 98 · 📋 300 - 3% open · ⏱️ 06.10.2022):

	```
	git clone https://github.com/tableau/TabPy
	```
- [PyPi](https://pypi.org/project/tabpy) (📥 19K / month · 📦 2 · ⏱️ 20.01.2022):
	```
	pip install tabpy
	```
- [Conda](https://anaconda.org/anaconda/tabpy-client) (📥 3.4K · ⏱️ 02.05.2022):
	```
	conda install -c anaconda tabpy-client
	```
</details>
<details><summary><b><a href="https://github.com/sepandhaghighi/pycm">pycm</a></b> (🥉26 ·  ⭐ 1.3K) - Multi-class confusion matrix library in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/sepandhaghighi/pycm) (👨‍💻 17 · 🔀 110 · 📦 170 · 📋 190 - 6% open · ⏱️ 17.08.2022):

	```
	git clone https://github.com/sepandhaghighi/pycm
	```
- [PyPi](https://pypi.org/project/pycm) (📥 35K / month · 📦 13 · ⏱️ 27.04.2022):
	```
	pip install pycm
	```
</details>
<details><summary><b><a href="https://github.com/scikit-learn-contrib/metric-learn">metric-learn</a></b> (🥉26 ·  ⭐ 1.3K) - Metric learning algorithms in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (👨‍💻 22 · 🔀 220 · 📦 240 · 📋 170 - 30% open · ⏱️ 21.06.2022):

	```
	git clone https://github.com/scikit-learn-contrib/metric-learn
	```
- [PyPi](https://pypi.org/project/metric-learn) (📥 38K / month · 📦 11 · ⏱️ 02.07.2020):
	```
	pip install metric-learn
	```
- [Conda](https://anaconda.org/conda-forge/metric-learn) (📥 7.6K · ⏱️ 02.07.2020):
	```
	conda install -c conda-forge metric-learn
	```
</details>
<details><summary><b><a href="https://github.com/ljvmiranda921/pyswarms">PySwarms</a></b> (🥉26 ·  ⭐ 1K) - A research toolkit for particle swarm optimization in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/ljvmiranda921/pyswarms) (👨‍💻 44 · 🔀 310 · 📦 200 · 📋 210 - 5% open · ⏱️ 03.07.2022):

	```
	git clone https://github.com/ljvmiranda921/pyswarms
	```
- [PyPi](https://pypi.org/project/pyswarms) (📥 9.1K / month · 📦 11 · ⏱️ 03.01.2021):
	```
	pip install pyswarms
	```
</details>
<details><summary><b><a href="https://github.com/google/trax">Trax</a></b> (🥉25 ·  ⭐ 7.2K) - Trax Deep Learning with Clear Code and Speed. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/google/trax) (👨‍💻 78 · 🔀 730 · 📦 84 · 📋 210 - 42% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/google/trax
	```
- [PyPi](https://pypi.org/project/trax) (📥 4K / month · ⏱️ 26.10.2021):
	```
	pip install trax
	```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/AugLy">AugLy</a></b> (🥉25 ·  ⭐ 4.6K) - A data augmentations library for audio, image, text, and video. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/facebookresearch/AugLy) (👨‍💻 26 · 🔀 260 · 📦 46 · 📋 70 - 22% open · ⏱️ 21.09.2022):

	```
	git clone https://github.com/facebookresearch/AugLy
	```
- [PyPi](https://pypi.org/project/augly) (📥 2.2K / month · 📦 3 · ⏱️ 28.03.2022):
	```
	pip install augly
	```
</details>
<details><summary><b><a href="https://github.com/trevorstephens/gplearn">gplearn</a></b> (🥉25 ·  ⭐ 1.2K) - Genetic Programming in Python, with a scikit-learn inspired API. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/trevorstephens/gplearn) (👨‍💻 11 · 🔀 210 · 📦 290 · 📋 200 - 8% open · ⏱️ 04.08.2022):

	```
	git clone https://github.com/trevorstephens/gplearn
	```
- [PyPi](https://pypi.org/project/gplearn) (📥 3.6K / month · 📦 11 · ⏱️ 03.05.2022):
	```
	pip install gplearn
	```
- [Conda](https://anaconda.org/conda-forge/gplearn) (📥 3.8K · ⏱️ 04.05.2022):
	```
	conda install -c conda-forge gplearn
	```
</details>
<details><summary><b><a href="https://github.com/solegalli/feature_engine">Feature Engine</a></b> (🥉24 ·  ⭐ 1.1K) - Feature engineering package with sklearn like functionality. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>

- [GitHub](https://github.com/solegalli/feature_engine) (👨‍💻 36 · 🔀 230 · ⏱️ 05.07.2022):

	```
	git clone https://github.com/solegalli/feature_engine
	```
- [PyPi](https://pypi.org/project/feature_engine) (📥 150K / month · 📦 75 · ⏱️ 13.06.2022):
	```
	pip install feature_engine
	```
- [Conda](https://anaconda.org/conda-forge/feature_engine) (📥 20K · ⏱️ 25.10.2022):
	```
	conda install -c conda-forge feature_engine
	```
</details>
<details><summary><b><a href="https://github.com/MaxHalford/prince">Prince</a></b> (🥉24 ·  ⭐ 890) - Python factor analysis library (PCA, CA, MCA, MFA, FAMD). <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/MaxHalford/prince) (👨‍💻 13 · 🔀 160 · 📦 250 · 📋 110 - 35% open · ⏱️ 07.09.2022):

	```
	git clone https://github.com/MaxHalford/prince
	```
- [PyPi](https://pypi.org/project/prince) (📥 35K / month · 📦 5 · ⏱️ 06.10.2020):
	```
	pip install prince
	```
- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (📥 13K · ⏱️ 30.04.2021):
	```
	conda install -c conda-forge prince-factor-analysis
	```
</details>
<details><summary><b><a href="https://github.com/astroML/astroML">AstroML</a></b> (🥉23 ·  ⭐ 860) - Machine learning, statistics, and data mining for astronomy and.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/astroML/astroML) (👨‍💻 30 · 🔀 280 · 📋 160 - 39% open · ⏱️ 03.10.2022):

	```
	git clone https://github.com/astroML/astroML
	```
- [PyPi](https://pypi.org/project/astroML) (📥 1.1K / month · 📦 33 · ⏱️ 01.03.2022):
	```
	pip install astroML
	```
- [Conda](https://anaconda.org/conda-forge/astroml) (📥 34K · ⏱️ 02.03.2022):
	```
	conda install -c conda-forge astroml
	```
</details>
<details><summary><b><a href="https://github.com/minrk/findspark">findspark</a></b> (🥉23 ·  ⭐ 450 · 💤) - Find pyspark to make it importable. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/minrk/findspark) (👨‍💻 15 · 🔀 70 · 📦 2.8K · 📋 23 - 52% open · ⏱️ 11.02.2022):

	```
	git clone https://github.com/minrk/findspark
	```
- [PyPi](https://pypi.org/project/findspark) (📥 2.3M / month · 📦 140 · ⏱️ 11.02.2022):
	```
	pip install findspark
	```
- [Conda](https://anaconda.org/conda-forge/findspark) (📥 730K · ⏱️ 11.02.2022):
	```
	conda install -c conda-forge findspark
	```
</details>
<details><summary><b><a href="https://github.com/Project-MONAI/MONAILabel">MONAILabel</a></b> (🥉23 ·  ⭐ 330) - MONAI Label is an intelligent open source image labeling and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/Project-MONAI/MONAILabel) (👨‍💻 36 · 🔀 100 · 📥 29K · 📋 320 - 17% open · ⏱️ 10.11.2022):

	```
	git clone https://github.com/Project-MONAI/MONAILabel
	```
- [PyPi](https://pypi.org/project/monailabel-weekly) (📥 710 / month · ⏱️ 03.07.2022):
	```
	pip install monailabel-weekly
	```
</details>
<details><summary><b><a href="https://github.com/rasbt/biopandas">BioPandas</a></b> (🥉22 ·  ⭐ 530) - Working with molecular structures in pandas DataFrames. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/rasbt/biopandas) (👨‍💻 9 · 🔀 100 · 📦 130 · 📋 49 - 40% open · ⏱️ 06.08.2022):

	```
	git clone https://github.com/rasbt/biopandas
	```
- [PyPi](https://pypi.org/project/biopandas) (📥 9K / month · 📦 16 · ⏱️ 13.05.2022):
	```
	pip install biopandas
	```
- [Conda](https://anaconda.org/conda-forge/biopandas) (📥 120K · ⏱️ 13.05.2022):
	```
	conda install -c conda-forge biopandas
	```
</details>
<details><summary><b><a href="https://github.com/airbnb/streamalert">StreamAlert</a></b> (🥉21 ·  ⭐ 2.7K) - StreamAlert is a serverless, realtime data analysis framework.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>

- [GitHub](https://github.com/airbnb/streamalert) (👨‍💻 33 · 🔀 320 · 📋 340 - 24% open · ⏱️ 20.07.2022):

	```
	git clone https://github.com/airbnb/streamalert
	```
</details>
<details><summary><b><a href="https://github.com/pykale/pykale">pykale</a></b> (🥉21 ·  ⭐ 360) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/pykale/pykale) (👨‍💻 18 · 🔀 50 · 📋 93 - 6% open · ⏱️ 16.10.2022):

	```
	git clone https://github.com/pykale/pykale
	```
- [PyPi](https://pypi.org/project/pykale) (📥 140 / month · ⏱️ 12.04.2022):
	```
	pip install pykale
	```
</details>
<details><summary><b><a href="https://github.com/clementchadebec/benchmark_VAE">benchmark_VAE</a></b> (🥉20 ·  ⭐ 1.1K) - Unifying Generative Autoencoder implementations in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (👨‍💻 6 · 🔀 85 · 📦 3 · 📋 27 - 22% open · ⏱️ 20.10.2022):

	```
	git clone https://github.com/clementchadebec/benchmark_VAE
	```
- [PyPi](https://pypi.org/project/pythae) (📥 410 / month · ⏱️ 05.07.2022):
	```
	pip install pythae
	```
</details>
<details><summary><b><a href="https://github.com/dstackai/dstack">dstack</a></b> (🥉20 ·  ⭐ 380) - An open-source tool to simplify MLOps. It helps you run ML workflows in.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code></summary>

- [GitHub](https://github.com/dstackai/dstack) (👨‍💻 5 · 🔀 21 · 📋 120 - 26% open · ⏱️ 09.11.2022):

	```
	git clone https://github.com/dstackai/dstack
	```
- [PyPi](https://pypi.org/project/dstack) (📥 670 / month · ⏱️ 29.06.2022):
	```
	pip install dstack
	```
</details>
<details><summary><b><a href="https://github.com/eltonlaw/impyute">impyute</a></b> (🥉20 ·  ⭐ 330 · 💤) - Data imputations library to preprocess datasets with missing data. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/eltonlaw/impyute) (👨‍💻 11 · 🔀 46 · 📦 160 · 📋 64 - 42% open · ⏱️ 06.11.2021):

	```
	git clone https://github.com/eltonlaw/impyute
	```
- [PyPi](https://pypi.org/project/impyute) (📥 5K / month · 📦 3 · ⏱️ 29.04.2019):
	```
	pip install impyute
	```
</details>
<details><summary><b><a href="https://github.com/yzhao062/SUOD">SUOD</a></b> (🥉19 ·  ⭐ 340) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>

- [GitHub](https://github.com/yzhao062/SUOD) (👨‍💻 2 · 🔀 43 · 📦 440 · 📋 9 - 66% open · ⏱️ 07.07.2022):

	```
	git clone https://github.com/yzhao062/SUOD
	```
- [PyPi](https://pypi.org/project/suod) (📥 36K / month · ⏱️ 01.10.2021):
	```
	pip install suod
	```
</details>
<details><summary><b><a href="https://github.com/jmschrei/apricot">apricot</a></b> (🥉17 ·  ⭐ 450 · 💤) - apricot implements submodular optimization for the purpose of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/jmschrei/apricot) (👨‍💻 4 · 🔀 44 · 📥 19 · 📦 33 · 📋 29 - 34% open · ⏱️ 18.11.2021):

	```
	git clone https://github.com/jmschrei/apricot
	```
- [PyPi](https://pypi.org/project/apricot-select) (📥 420 / month · 📦 3 · ⏱️ 28.09.2020):
	```
	pip install apricot-select
	```
</details>
<details><summary><b><a href="https://github.com/SforAiDl/KD_Lib">KD-Lib</a></b> (🥉16 ·  ⭐ 450) - A Pytorch Knowledge Distillation library for benchmarking and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>

- [GitHub](https://github.com/SforAiDl/KD_Lib) (👨‍💻 6 · 🔀 39 · 📋 61 - 21% open · ⏱️ 14.10.2022):

	```
	git clone https://github.com/SforAiDl/KD_Lib
	```
- [PyPi](https://pypi.org/project/KD-Lib) (📥 58 / month · ⏱️ 18.05.2022):
	```
	pip install KD-Lib
	```
</details>
<details><summary><b><a href="https://github.com/jrieke/traingenerator">traingenerator</a></b> (🥉13 ·  ⭐ 1.2K) - A web app to generate template code for machine learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>

- [GitHub](https://github.com/jrieke/traingenerator) (👨‍💻 3 · 🔀 170 · 📋 16 - 81% open · ⏱️ 30.06.2022):

	```
	git clone https://github.com/jrieke/traingenerator
	```
</details>
<details><summary>Show 17 hidden projects...</summary>

- <b><a href="https://github.com/wireservice/agate">agate</a></b> (🥈31 ·  ⭐ 1.1K · 💀) - A Python data analysis library that is optimized for humans instead of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/explosion/cython-blis">Cython BLIS</a></b> (🥈31 ·  ⭐ 190) - Fast matrix-multiplication as a self-contained Python library no.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/cleanlab/cleanlab">cleanlab</a></b> (🥈29 ·  ⭐ 4.2K) - The standard data-centric AI package for data quality and machine.. <code><a href="http://bit.ly/3pwmjO5">❗️AGPL-3.0</a></code>
- <b><a href="https://github.com/JustGlowing/minisom">minisom</a></b> (🥉26 ·  ⭐ 1.1K) - MiniSom is a minimalistic implementation of the Self Organizing.. <code><a href="https://tldrlegal.com/search?q=CC-BY-3.0">❗️CC-BY-3.0</a></code>
- <b><a href="https://github.com/annoviko/pyclustering">pyclustering</a></b> (🥉26 ·  ⭐ 1K · 💀) - pyclustering is a Python, C++ data mining library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/modAL-python/modAL">modAL</a></b> (🥉24 ·  ⭐ 1.8K · 💀) - A modular active learning framework for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/flennerhag/mlens">mlens</a></b> (🥉23 ·  ⭐ 760 · 💀) - ML-Ensemble high performance ensemble learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/vecxoz/vecstack">vecstack</a></b> (🥉22 ·  ⭐ 670 · 💀) - Python package for stacking (machine learning technique). <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/transform-data/metricflow">metricflow</a></b> (🥉21 ·  ⭐ 700) - MetricFlow allows you to define, build, and maintain metrics in.. <code><a href="http://bit.ly/3pwmjO5">❗️AGPL-3.0</a></code>
- <b><a href="https://github.com/ml-tooling/opyrator">opyrator</a></b> (🥉20 ·  ⭐ 2.7K · 💀) - Turns your machine learning code into microservices with web API,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/kLabUM/rrcf">rrcf</a></b> (🥉20 ·  ⭐ 410 · 💀) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/infer-actively/pymdp">pymdp</a></b> (🥉20 ·  ⭐ 220) - A Python implementation of active inference for Markov Decision Processes. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/EpistasisLab/scikit-rebate">scikit-rebate</a></b> (🥉19 ·  ⭐ 370 · 💀) - A scikit-learn-compatible Python implementation of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/pandas-ml/pandas-ml">pandas-ml</a></b> (🥉19 ·  ⭐ 300 · 💀) - pandas, scikit-learn, xgboost and seaborn integration. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/alegonz/baikal">baikal</a></b> (🥉18 ·  ⭐ 590 · 💀) - A graph-based functional API for building complex scikit-learn.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code>
- <b><a href="https://github.com/facebookresearch/NeuralCompression">NeuralCompression</a></b> (🥉14 ·  ⭐ 280) - A collection of tools for neural compression enthusiasts. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/Palashio/nylon">nylon</a></b> (🥉11 ·  ⭐ 78 · 💀) - An intelligent, flexible grammar of machine learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
</details>

---

## Related Resources

- [**Papers With Code**](https://paperswithcode.com): Discover ML papers, code, and evaluation tables.
- [**Sotabench**](https://sotabench.com): Discover & compare open-source ML models.
- [**Google Dataset Search**](https://toolbox.google.com/datasetsearch): Dataset search engine by Google.
- [**Dataset List**](https://www.datasetlist.com/): List of the biggest ML datasets from across the web.
- [**Awesome Public Datasets**](https://github.com/awesomedata/awesome-public-datasets): A topic-centric list of open datasets.
- [**Best-of lists**](https://best-of.org): Discover other best-of lists with awesome open-source projects on all kinds of topics.
- [**best-of-python-dev**](https://github.com/ml-tooling/best-of-python-dev): A ranked list of awesome python developer tools and libraries.
- [**best-of-web-python**](https://github.com/ml-tooling/best-of-web-python): A ranked list of awesome python libraries for web development.

## Contribution

Contributions are encouraged and always welcome! If you like to add or update projects, choose one of the following ways:

- Open an issue by selecting one of the provided categories from the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose) and fill in the requested information.
- Modify the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/blob/main/projects.yaml) with your additions or changes, and submit a pull request. This can also be done directly via the [Github UI](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml).

If you like to contribute to or share suggestions regarding the project metadata collection or markdown generation, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository. If you like to create your own best-of list, we recommend to follow [this guide](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md).

For more information on how to add or update projects, please read the [contribution guidelines](https://github.com/ml-tooling/best-of-ml-python/blob/main/CONTRIBUTING.md). By participating in this project, you agree to abide by its [Code of Conduct](https://github.com/ml-tooling/best-of-ml-python/blob/main/.github/CODE_OF_CONDUCT.md).

## License

[![CC0](https://mirrors.creativecommons.org/presskit/buttons/88x31/svg/by-sa.svg)](https://creativecommons.org/licenses/by-sa/4.0/)