-
Shanghai AI Laboratory
- Shanghai
- @RangiLyu
Starred repositories
An asynchronous streaming data management module for efficient post-training.
Mobile and Web client for Codex and Claude Code, with realtime voice, encryption and fully featured
A PyTorch native library for training speculative decoding models
OmX - Oh My codeX: Your codex is not alone. Add hooks, agent teams, HUDs, and so much more.
The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars ⭐. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Checkpoint-engine is a simple middleware to update model weights in LLM inference engines
[NeurIPS 2025 Spotlight] Reasoning Environments for Reinforcement Learning with Verifiable Rewards
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
(ICLR 2026) Unveiling Super Experts in Mixture-of-Experts Large Language Models
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
Physics of Language Models: Part 4.2, Canon Layers at Scale where Synthetic Pretraining Resonates in Reality
Pre-trained, Scalable, High-performance Reward Models via Policy Discriminative Learning.
Litex is a simple formal language Learnable in 2 hours.
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
Official repository for "Craw4LLM: Efficient Web Crawling for LLM Pretraining"
DeepEP: an efficient expert-parallel communication library
FlashMLA: Efficient Multi-head Latent Attention Kernels
Scalable RL solution for advanced reasoning of language models
Official Repo for Open-Reasoner-Zero