21 Lessons, Get Started Building with Generative AI

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

Examples and guides for using the OpenAI API

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

12 Lessons to Get Started Building AI Agents

Python Data Science Handbook: full text in Jupyter Notebooks

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

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

🔊 Text-Prompted Generative Audio Model

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Anthropic's Interactive Prompt Engineering Tutorial

The fastai deep learning library

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

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

The fastai book, published as Jupyter Notebooks

A simple screen parsing tool towards pure vision based GUI agent

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Neural Networks: Zero to Hero

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

A collection of various deep learning architectures, models, and tips

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…

📡 Simple and ready-to-use tutorials for TensorFlow

Examples and guides for using the Gemini API