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TensorLayer 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

awesome-multimodal-ml 是一个学习资料，用于系统学习与查阅。

Reading list for research topics in multimodal machine learning

Awesome-LLM-Strawberry 是一个 AI 工具，用于大模型与智能体应用开发。

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

Mooncake 是用 C++ 编写的 AI 工具，用于大模型与智能体应用开发。

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

awesome-ai-in-finance 是一个资源清单，按主题汇总同类优质资源。

🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

Practical_RL 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

A course in reinforcement learning in the wild

PufferLib 是用 C 编写的学习资料，用于系统学习与查阅。

Puffing up reinforcement learning

awesome-self-supervised-learning 是一个学习资料，用于系统学习与查阅。

A curated list of awesome self-supervised methods

tensorpack 是用 Python 编写的学习资料，用于系统学习与查阅。

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

VLM-R1 是用 Python 编写的学习资料，用于系统学习与查阅。

Solve Visual Understanding with Reinforced VLMs

rllm 是用 Python 编写的 AI 工具，用于大模型与智能体应用开发。

Democratizing Reinforcement Learning for LLMs

AReaL 是用 Python 编写的 AI 工具，用于大模型与智能体应用开发，主打易用、可扩展。

The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.

keras-rl 是用 Python 编写的学习资料，用于系统学习与查阅。

Deep Reinforcement Learning for Keras.

open_spiel 是用 C++ 编写的学习资料，用于系统学习与查阅。

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

OpenCat-Quadruped-Robot 是用 C++ 编写的学习资料，用于系统学习与查阅，主打开源免费。

An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics ed…

RLinf 是用 Python 编写的学习资料，用于系统学习与查阅。

RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI

xtuner 是用 Python 编写的 AI 工具，用于大模型与智能体应用开发。

A Next-Generation Training Engine Built for Ultra-Large MoE Models

EasyR1 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打可伸缩。

EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL

deep-rl-class 是用 MDX 编写的学习资料，用于系统学习与查阅。

This repo contains the Hugging Face Deep Reinforcement Learning Course.

🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）

🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）

trlx 是用 Python 编写的学习资料，用于系统学习与查阅，主打可伸缩。

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Reinforcement-Learning 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

dm_control 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI