Async RL Training at Scale

Example for implementing isolated environments with Ray and UV

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

PyTorch-native post-training at scale

🔬 A fast, interactive web-based viewer for performance profiles.

A modern replacement for Redis and Memcached

The best ChatGPT that $100 can buy.

Official PyTorch implementation for "Large Language Diffusion Models"

A natively parallel dataloader for Python, written in Rust. Serving data at GB/s speeds, while covering aspect ratio bucketing, crop and resize for image ML workloads.

A fast Rust JSON library based on SIMD.

DeepEP: an efficient expert-parallel communication library

The `io_uring` library for Rust

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

H-Net: Hierarchical Network with Dynamic Chunking

Kimi K2 is the large language model series developed by Moonshot AI team

Simplifying reinforcement learning for complex game environments

PyTorch Single Controller

Mirage Persistent Kernel: Compiling LLMs into a MegaKernel

✨ An advanced 3D Gaussian Splatting renderer for THREE.js

Nano vLLM

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

Scalable real-time messaging server in a language-agnostic way. Self-hosted alternative to Pubnub, Pusher, Ably, socket.io, Phoenix.PubSub, SignalR. Set up once and forever.

Turn any computer or edge device into a command center for your computer vision projects.

⏩ Ship faster with Continuous AI. Open-source CLI that can be used in TUI mode as a coding agent or Headless mode to run background agents

Detects usage of unsafe Rust in a Rust crate and its dependencies.

Rust library for fast image resizing with using of SIMD instructions.

A tool for a more concise git log view