Open Source Projects
Research tools and software contributions
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.
Open Machine Learning Compiler Framework.
Universal LLM Deployment Engine with ML Compilation.
PyPTO: Parallel Tensor/Tile Operation Programming Paradigm.
Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction.
Open ABI and FFI for Machine Learning Systems.
High-performance In-browser LLM Inference Engine.
NexRL is an ultra-loosely-coupled LLM post-training framework.
Nex Venus Communication Library
siiRL: Shanghai Innovation Institute RL Framework for Advanced LLMs and Multi-Agent Systems.