Repository Index

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

• agents
• ai
• llms
• machine-learning

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

• rag
• tutorials
• langchain
• llama-index

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org

• hacking
• penetration-testing
• hacking-series
• cybersecurity

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

• agents
• genai
• tutorials
• langchain

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

• agent
• agent-framework
• agents
• ai-agents

TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.

• pytorch
• pytorch-tutorials
• pytorch-handbook
• deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

• pytorch
• machine-learning
• deep-learning

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

• ai
• finetuning
• langchain
• llama

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

💿 Free software that works great, and also happens to be open-source Python.

• python
• application
• video
• audio

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

• csharp
• java
• javascript
• mcp

:satellite: Simple and ready-to-use tutorials for TensorFlow

• tensorflow
• python
• deep-learning
• deep-learning-tutorial

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.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

• pytorch
• pytorch-tutorials
• pytorch-tutorials-cn
• deep-learning

This repository contains demos I made with the Transformers library by HuggingFace.

• transformers
• pytorch
• bert
• vision-transformer

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

• deep-learning
• mit
• self-driving-cars
• deep-reinforcement-learning

TensorFlow Tutorials with YouTube Videos

• tensorflow
• deep-learning
• machine-learning
• reinforcement-learning

Toturials coming with the "data science roadmap" picture.

A course in reinforcement learning in the wild

• reinforcement-learning
• course-materials
• deep-learning
• deep-reinforcement-learning

Simple tutorials using Google's TensorFlow Framework

From the basics to slightly more interesting applications of Tensorflow

TranslatedCAPTCHA recognition

• captcha-breaking
• keras-tutorials
• deep-learning
• keras

TensorFlow Tutorials

• tensorflow-tutorials
• convolutional-neural-networks
• recurrent-neural-networks