MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

CUDA C 编程权威指南代码实现 包含了书上第二章到第八章的大部分代码实现和作者笔记，全由作者本人手动实现，难免有错误的地方，请大家谨慎参考，非常欢迎对错误的指正。 如果有帮助的话请Star一下，对作者帮助很大，谢谢！

高性能计算相关知识学习笔记，包含学习笔记和相关知识的代码demo，在持续完善中。 如果有帮助的话请Star一下，对作者帮助很大，谢谢！

Use ChatGPT for academic writing

The best ChatGPT that $100 can buy.

PYCV module for PLUMED2. See the src/pycv directory.

A collection of MCP servers.

The official Python SDK for Model Context Protocol servers and clients

Model Context Protocol Servers

Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.

Multi-platform computer & game console emulation system including supporting code (EmuFramework) and core engine (Imagine)

《Reinforcement Learning: An Introduction》（第二版）中文翻译

Projects from basic algorithms to MARL. Implements MADDPG,MATD3,MA/HAPPO in Predator-Prey pursuit games with PettingZoo MPE environments.

天授中文文档

An elegant PyTorch deep reinforcement learning library.

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

60_Days_RL_Challenge中文版

Deep Reinforcement Learning

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Semiempirical Extended Tight-Binding Program Package

Some classic books related to robots. Not for commercial use.

A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.

LAPACK++ is a C++ wrapper around CPU and GPU LAPACK and LAPACK-like linear algebra libraries, developed as part of the SLATE project.

BLAS++ is a C++ wrapper around CPU and GPU BLAS (basic linear algebra subroutines), developed as part of the SLATE project.

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

VS Code extension for LLM-assisted code/text completion

Vim plugin for LLM-assisted code/text completion

A faithful clone of Karpathy's llama2.c (one file inference, zero dependency) but fully functional with LLaMA 3 8B base and instruct models.

Inference Llama 2 in one file of pure C