maocheng23/sglang
SGLang is a fast serving framework for large language models and vision language models.
Repositories
maocheng23/open-spec-config
maocheng23/lm-sys.github.io
The source of LMSYS website and blogs
maocheng23/SpecForge
Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
maocheng23/specforge-refactor-plan
DataFlow-centered scale-out refactor plan for SpecForge (speculative-decoding draft training): architecture, phased roadmap M0-M7, acceptance gates, and ADRs.
maocheng23/claude-code
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands. All original source code is the property of Anthropic.
maocheng23/harbor
Harbor is a framework for running agent evaluations and creating and using RL environments.
maocheng23/slime
slime is a LLM post-training framework aiming for RL Scaling.
maocheng23/mini-swe-agent
The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!
maocheng23/verl
verl: Volcano Engine Reinforcement Learning for LLMs
maocheng23/Megatron-LM
Ongoing research training transformer models at scale
maocheng23/Awesome-ML-SYS-Tutorial
My learning notes/codes for ML SYS.