Lists (8)
Stars
An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale
A set of examples based on verl for end-to-end RL training recipes.
OpenClaw-RL: Train any agent simply by talking
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
A community-maintained Python framework for creating mathematical animations.
A simple tutorial about effectively using pdb
Hands on exercises with real-life examples to study and practice Go concurrency patterns. Test-cases are provided to verify your answers.
CL-bench: A Benchmark for Context Learning
verl Zero-Mismatch Dense/MoE HuggingFace Rollout
Provide with pre-build flash-attention 2 and 3 package wheels on Linux and Windows using GitHub Actions
CUDA kernels for linear attention variants, written in CuTe DSL and CUTLASS C++.
A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visual…
💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minec…
Ralph is an autonomous AI agent loop that runs repeatedly until all PRD items are complete.
Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
🖥 Windows Bootable USB creator for macOS. 🛠 Patches Windows 11 to bypass TPM and Secure Boot requirements. 👾 UEFI & Legacy Support
MiroThinker is a deep research agent optimized for complex research and prediction tasks. Our latest models, MiroThinker-1.7, achieves 74.0 and 75.3 on the BrowseComp and BrowseComp Zh, respectively.
Tile-Based Runtime for Ultra-Low-Latency LLM Inference
Interactive Pytorch forward pass visualization in notebooks
Distributed MoE in a Single Kernel [NeurIPS '25]
Perplexity open source garden for inference technology
My learning notes for ML SYS.
🦀 Small exercises to get you used to reading and writing Rust code!
Fast and memory-efficient exact attention