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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.

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

🧑‍🏫 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, ... 🧠

《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码

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

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.

The absolute trainer to light up AI agents.

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

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

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

Machine learning, in numpy

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

SANA & Sol: Efficient Generative Models and Full-Stack Training & Inference Engines for Image, Video, and World Modeling

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

TensorFlow Tutorials with YouTube Videos

A collection of machine learning examples and tutorials.

Infrastructure for continually self‑improving agents

Democratizing Reinforcement Learning for LLMs

Implement a reasoning LLM in PyTorch from scratch, step by step

RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI

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

Deep Reinforcement Learning for Keras.

🦍 Memorilla: Latent Semantic Memory for LLMs