Repository Index

List of Computer Science courses with video lectures.

• computer-science
• algorithms
• systems
• databases

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.

• fine-tuning
• llama
• llms
• gemma

Learn AI Engineering! Learn it. Build it. Ship it for others.

• agents
• ai
• ai-agents
• ai-engineering

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

• ray
• distributed
• parallel
• machine-learning

SGLang is a high-performance serving framework for large language models and multimodal models.

• cuda
• inference
• llama
• llm

Connect, secure, control, and observe services.

• microservices
• service-mesh
• lyft-envoy
• kubernetes

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

• machine-learning
• deep-learning
• deep-reinforcement-learning
• machine-learning-from-scratch

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

• applied-machine-learning
• production
• applied-data-science
• machine-learning

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

• deep-learning
• machine-learning
• book
• notebook

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

• chatgpt
• finance
• fintech
• large-language-models

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

• reinforcement-learning
• unity3d
• deep-learning
• unity

A tool to enforce Swift style and conventions.

• linter
• linting
• swift
• static-analysis

Train transformer language models with reinforcement learning.

The absolute trainer to light up AI agents.

• agent
• agentic-ai
• llm
• mlops

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

• drones
• ai
• self-driving-car
• autonomous-vehicles

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

• reinforcement-learning
• book
• courses
• tutorials

FinRL®: Financial Reinforcement Learning. 🔥

• deep-reinforcement-learning
• drl-trading-agents
• stock-trading
• drl-algorithms

Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases

• machine-learning
• deep-learning
• leedl-tutorial
• cnn

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

• machine-learning
• machine-intelligence
• artificial-intelligence
• reinforcement-learning

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms