An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

An open-source ML pipeline development platform

Open source AI platform for rapid development of advanced AI and AGI pipelines.

Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

Free and open source automation platform

Best practices for engineering ML pipelines.

Library for streaming data and incremental learning algorithms.

Components that I have created for Kubeflow Pipelines. Try them in https://cloud-pipelines.net/pipeline-editor/

Serverless ML system to predict the direction and volume of electricity flows to and from the Netherlands and its energy transmission partners 🇳🇱⚡️

This Project is a part of Data Science Nanodegree Program by Udacity in collaboration with Figure Eight. The initial dataset contains pre-labelled tweet and messages from real-life disasters. The aim of this project is to build a Natural Language Processing tool that categorize messages.

Fraud detection ML pipeline and serving POC using Dask and hopeit.engine. Project created with nbdev: https://www.fast.ai/2019/12/02/nbdev/

This a repo that was created to learn more about Airflow and develop awesome data engineering projects. 🚀🚀

A collection of real-world machine learning and AI projects. Explore hands-on implementations of cutting-edge models, practical solutions, and techniques to tackle real-world challenges using AI.

🧠A hands-on workspace for practicing machine learning concepts, data preprocessing, and experimenting with small ML projects. This repo includes foundational Python scripts, real-world mini-projects, and experiments that reflect a progressive learning journey in applied machine learning.

This repository contains my code solution to DeepLearning.AIs Practical Data Science On AWS Cloud Specialization.

Open collection of all types of diagrams—Mermaid flowcharts, architecture, ML pipelines, and more.

An end-to-end MLOps project demonstrating a modular machine learning pipeline for predicting student performance, featuring a Flask web interface and deployment on AWS.

Production-ready prototype for formal verification of ML or scientific pipelines using Lean 4and Python.