zxpdemonio/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
The source of LMSYS website and blogs
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2509.03505
SGLang is a high-performance serving framework for large language models and multimodal models.
An LLM post-training framework with vLLM for RL Scaling
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
Claude Code Snapshot for Research. All original source code is the property of Anthropic.
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
slime is an LLM post-training framework for RL Scaling.
Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
AMDGPU Driver with KFD used by the ROCm project. Also contains the current Linux Kernel that matches this base driver
Live upgrade Linux kernel scheduler subsystem
dionaea low interaction honeypot (forked from dionaea.carnivore.it)
An Implementation of Artificial Neural Network using Java performing on default-of-credit-card-clients-Data-Set.
This java library is used for generating, training, and using artificial neural networks with linear algebra. Uses feed forward nets, with backpropagation learning algorithm.