Awesome Opensource Ai

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

scikit-learn: machine learning in Python

Deep Learning for humans

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Learn how to develop, deploy and iterate on production-grade ML applications.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Streamlit — A faster way to build and share data apps.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

10 Weeks, 20 Lessons, Data Science for All!

💫 Industrial-strength Natural Language Processing (NLP) in Python

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

An orchestration platform for the development, production, and observation of data assets.

🦉 Data Versioning and ML Experiments

OpenRefine is a free, open source power tool for working with messy data and improving it

Low-code framework for building custom LLMs, neural networks, and other AI models

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Always know what to expect from your data.

Fast and Accurate ML in 3 Lines of Code

Modin: Scale your Pandas workflows by changing a single line of code

A unified framework for machine learning with time series

cuDF - GPU DataFrame Library

A python library for user-friendly forecasting and anomaly detection on time series.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

🧙 Build, run, and manage data pipelines for integrating and transforming data.

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

An open source python library for automated feature engineering

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

The Open Source Feature Store for AI/ML

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

A system for quickly generating training data with weak supervision

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

Probabilistic time series modeling in Python

Visualizer for pandas data structures

Time series forecasting with PyTorch

Lightning ⚡️ fast forecasting with statistical and econometric models.

Relax! Flux is the ML library that doesn't make you tensor

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Machine Learning Pipelines for Kubeflow

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Maestro: Netflix’s Workflow Orchestrator

AI Infra / AI Orchestration / AI Control Plane

Visualize and compare datasets, target values and associations, with one line of code.