12 Weeks, 24 Lessons, AI for All!

The fastai deep learning library

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

Visualizer for neural network, deep learning and machine learning models

🤗 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

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

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

Google Research

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

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

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

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.