Repository Index

Translated100-Days-Of-ML-Code Chinese version

• machine-learning
• python
• 100-days-of-ml-code
• chinese-simplified

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

Best Practices on Recommendation Systems

• machine-learning
• recommender
• ranking
• deep-learning

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

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

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

• machine-learning
• trading
• investment
• finance

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

TranslatedCode implementation of 《统计学习方法》 (Statistical Learning Methods)

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

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

• gemini
• gemini-api

[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

TranslatedAISystem mainly refers to AI systems, covering the full stack of underlying AI technologies, including AI chips, AI compilers, and AI inference and training frameworks

• ai
• mlsys
• aiinfra
• aisys

Examples and guides for using the Gemini API

• gemini
• gemini-api

TranslatedDeep Learning Tutorial, excellent articles

• deeplearning
• cnn
• rnn
• gan

TranslatedThis project covers the knowledge points and code implementations frequently asked about in Machine Learning, Deep Learning, and NLP interviews, and it is also the basic theoretical knowledge that an algorithm engineer must master.

• nlp
• machine-learning
• deep-learning

Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform

• generative-ai
• llm
• vertex-ai
• langchain

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

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