Repository Index

21 Lessons, Get Started Building with Generative AI

• ai
• chatgpt
• dall-e
• generativeai

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

• gpt
• large-language-models
• llm
• python

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

• machine-learning
• deep-learning
• pytorch
• natural-language-processing

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼

• data-engineering
• kafka
• spark
• dbt

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

Course Files for Complete Python 3 Bootcamp Course on Udemy

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

• bayesian-methods
• pymc
• mathematical-analysis
• jupyter-notebook

Neural Networks: Zero to Hero

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

• tensorflow
• scikit-learn
• machine-learning
• python

Translated✅ (Completed) Super comprehensive deep learning notes [Tudui PyTorch] [Li Mu Dive into Deep Learning] [Andrew Ng Deep Learning] [Dafei LLM Agent]

• book
• chinese
• computer-vision
• deep-learning

Learn OpenCV : C++ and Python Examples

• computer-vision
• machine-learning
• ai
• deep-learning

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

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

• machine-learning
• trading
• investment
• finance

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

TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.

• deep-learning
• deep-learning-tutorial
• pytorch
• pytorch-tutorial

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

• pytorch
• machine-learning
• deep-learning

One has no future if one couldn't teach themself.

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

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

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

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

Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort

• machine-learning
• mlops
• model-deployment
• model-monitoring