dimensionality-reduction-algorithms

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Neurojedi / Machine-Learning-Zero2Hero

A series of notebooks that introduce Machine Learning concepts with hands-on practice and its mathematics in brief.

python nlp machine-learning opensource deep-learning numpy jupyter-notebook pandas data-visualization seaborn dimensionality-reduction matplotlib support-vector-machines regression-models dimensionality-reduction-algorithms

Updated Jul 20, 2023
Jupyter Notebook

michelin / TorchSOM

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TorchSOM is a PyTorch-based library for training Self-Organizing Maps (SOMs), a model trained in an unsupervised manner, that can be used for clustering, dimensionality reduction and data visualization. It is designed to be scalable and user-friendly.

clustering pytorch data-visualisation clustering-algorithm unsupervised-machine-learning pytorch-implementation just-in-time self-organizing-maps dimensionality-reduction-technique dimensionality-reduction-algorithms just-in-time-learning

Updated Apr 17, 2026
Python

mohd-faizy / Machine-Learning-Algorithms

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This Repository consist of some popular Machine Learning Algorithms and their implementation of both theory and code in Jupyter Notebooks

deep-learning neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning logistic-regression convolutional-neural-networks decision-trees unsupervised-learning support-vector-machines gradient-boosting k-means-clustering k-nearest-neighbors bayesian-algorithm dimensionality-reduction-algorithms

Updated Nov 30, 2020
Jupyter Notebook

gustafssonlinnea / UMAP-vs-PaCMAP

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This is a dimensionality reduction project in the course DD2470 Advanced Topics in Visualization and Computer Graphics at KTH Royal Institute of Technology, Stockholm (2024), made by Linnéa Gustafsson.

dimensionality-reduction umap multidimensional-data dimensionality-reduction-algorithms pacmap

Updated Feb 15, 2024
Python

GeoRouv / single-cell-data-analysis

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🧫 A data analysis pipeline that accepts as input a single-cell synthetic dataset

clustering single-cell-rna-seq dimensionality-reduction-algorithms

Updated Apr 23, 2021
Jupyter Notebook

wexionar / multi-dimensional-neural-networks

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N-Dimensional alternative to Neural Networks. SLRM-nD uses Simplex Sectoring for neural compression and regression in sparse hyperspaces (1000D+). Zero-latency inference, deterministic weights and ReLU bridge. Zero training, pure geometry.