Lightweight and portable LLM sandbox runtime (code interpreter) Python library.

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

NexRL is an ultra-loosely-coupled LLM post-training framework.

[NeurIPS 2025] An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL

🤗 A PyTorch-native and Flexible Inference Engine with Hybrid Cache Acceleration and Parallelism for DiTs.

Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.

SGLang model provider for Strands Agents for on-policy agentic RL training.

A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.

A NCCL extension library, designed to efficiently offload GPU memory allocated by the NCCL communication library.

A construction kit for reinforcement learning environment management.

Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.

Checkpoint-engine is a simple middleware to update model weights in LLM inference engines

PyTorch Single Controller

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

PyTorch-native post-training at scale

Contexts Optical Compression

The best ChatGPT that $100 can buy.

A lightweight, powerful framework for multi-agent workflows

Official Repo For Pixel-LLM Codebase

Fully Open Framework for Democratized Multimodal Training

PyTorch bindings for CUTLASS and CUBLAS Grouped GEMM, Permute and Unpermute.

AdaptiveGEMM: FP8 GEMM with Adaptation to Various Lengths of Group M

A debugging and profiling tool that can trace and visualize python code execution

how to optimize some algorithm in cuda.

Reference PyTorch implementation and models for DINOv3

Implementation for FP8/INT8 Rollout for RL training without performence drop.

VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo