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 🚀

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

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

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.

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

A library for debugging/inspecting machine learning classifiers and explaining their predictions