Open Source Projects 开源项目
Research tools and software contributions 研究工具与软件贡献
I am committed to open science and contribute to open-source software that advances research in machine learning system and related areas. Below are some of the projects I have developed or significantly contributed to. 我长期投入开放科学，并参与推动机器学习系统及相关领域研究的开源软件。以下是我开发或深度参与的一些项目。
Open Machine Learning Compiler Framework.开放的机器学习编译器框架。
Universal LLM Deployment Engine with ML Compilation.基于机器学习编译的通用大语言模型部署引擎。
PyPTO: Parallel Tensor/Tile Operation Programming Paradigm.PyPTO：面向并行张量/Tile 操作的编程范式。
Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction.基于统一大规模环境构建生态训练的智能体模型。
Open ABI and FFI for Machine Learning Systems.面向机器学习系统的开放 ABI 与 FFI。
High-performance In-browser LLM Inference Engine.高性能浏览器内大语言模型推理引擎。
NexRL is an ultra-loosely-coupled LLM post-training framework.NexRL 是一个超松耦合的大语言模型后训练框架。
Nex Venus Communication LibraryNex Venus 通信库。
siiRL: Shanghai Innovation Institute RL Framework for Advanced LLMs and Multi-Agent Systems.siiRL：上海创智学院面向高级大语言模型和多智能体系统的强化学习框架。