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Tools for merging pretrained large language models.
Anthropic's original performance take-home, now open for you to try!
MSCCL++: A GPU-driven communication stack for scalable AI applications
A Systematic Analysis and Discussion of Claude Code for Designing Today's and Future AI Agent Systems
from vibe coding to agentic engineering - practice makes claude perfect
The AI that really does things. Any OS. Any Platform. The lobster way. 🦞
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
AI agents running research on single-GPU nanochat training automatically
The awesome collection of OpenClaw skills. 5,400+ skills filtered and categorized from the official OpenClaw Skills Registry.🦞
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
Ultimate collection of Claude Code tips, tricks, hacks, and workflows that you can use to master Claude Code in minutes
A curated list of awesome things related to Anthropic Claude
A curated resource list for learning AI performance engineering, from GPU fundamentals to production inference.
Puzzles for learning Triton
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
Accelerating MoE with IO and Tile-aware Optimizations
MoE training for Me and You and maybe other people
🚀 Efficient implementations for emerging model architectures
Helpful kernel tutorials, examples and SKILLs for tile-based GPU programming
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Post-training with Tinker
An open-source AI agent that brings the power of Gemini directly into your terminal.
Mirage Persistent Kernel: Compiling LLMs into a MegaKernel
An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen
Minimalistic large language model 3D-parallelism training
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.