12 Weeks, 24 Lessons, AI for All!

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

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

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

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Open standard for machine learning interoperability

Machine Learning Systems

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

🐍 Geometric Computer Vision Library for Spatial AI

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

The fastai deep learning library

A game theoretic approach to explain the output of any machine learning model.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.