shifangx/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
A high-throughput and memory-efficient inference and serving engine for LLMs
SGLang is a fast serving framework for large language models and vision language models.
Ongoing research training transformer models at scale
slime is an LLM post-training framework for RL Scaling.
Training library for Megatron-based models with bidirectional Hugging Face conversion capability
CUDA Graph runtime tensor debugging utilities for PyTorch
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A lightweight, AI-native training framework for large language models. Designed for fast iteration, reproducible experiments, and modular configuration across SFT, RLVR, and evaluation workflows.
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
分享AI Infra知识&代码练习:PyTorch/vLLM/SGLang框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等
Scalable toolkit for efficient model reinforcement
verl: Volcano Engine Reinforcement Learning for LLMs
An independent Python feature port of Claude Code, entirely rewritting from scratch using oh-my-codex. Educational Purpose only.
Bridge Megatron-Core to Hugging Face/Reinforcement Learning
Machine Learning Engineering Open Book
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
DeepEP: an efficient expert-parallel communication library
深度学习经典、新论文逐段精读
A Datacenter Scale Distributed Inference Serving Framework
FlashInfer: Kernel Library for LLM Serving
AIInfra(AI 基础设施)指AI系统从底层芯片等硬件,到上层软件栈支持AI大模型训练和推理。
A bidirectional pipeline parallelism algorithm for computation-communication overlap in V3/R1 training.
利用Python3和Pygame开发的一款桌面端消消乐游戏。A desktop elimination game developed using Python3 and Pygame.