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

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Finetune Llama 4, DeepSeek-R1, Gemma 3 & Reasoning LLMs 2x faster with 70% less memory! 🦥

A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)

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

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are…

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

A collection of multi agent environments based on OpenAI gym.

A collection of research on knowledge graphs

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

HawkEye- Course Project Page for CS 6476: Computer Vision

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Paper list of multi-agent reinforcement learning (MARL)

A clean and readable Pytorch implementation of CycleGAN

A list of all named GANs!

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

The guide to tackle with the Text Summarization

mlpack: a fast, header-only C++ machine learning library

Learn Haskell

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

StarCraft II Client - protocol definitions used to communicate with StarCraft II.

What the f*ck Python? 😱

Speech recognition in JavaScript and WebAssembly

Organize world's knowledge, explore connections and curate learning paths

CMUSphinx Website

TensorFlow-based neural network library

Awesome React Native components, news, tools, and learning material!

Magenta: Music and Art Generation with Machine Intelligence

Code samples to help you get started with the Amazon Mechanical Turk Requester API

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!