Lists (24)
ai agent
arrebol
awesomes
coding_tool
tools for reading/writing codecompiler
cpu arch
CPU performance
tlb, cache and so ondatabase-opt
debug
editor
gpu/cuda
joys
kernel
mlsys
notes
orz llm
orzch
os
presentation
programming_collection
quant
just for funrust
shell
tools for shelltools
pdf, html and textStars
Open source rust native version of the Raft daemon.
AI 基础知识 - GPU 架构、CUDA 编程、大模型基础及AI Agent 相关知识。
宝藏问题：汇总了大模型的重要资源，整理了宝藏问题手稿，宝藏论文参考文献
Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents -- All for Long running Agentized Workflows
Skills for Real Engineers. Straight from my .agents directory.
Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini C…
Run Windows apps such as Microsoft Office/Adobe in Linux (Ubuntu/Fedora) and GNOME/KDE as if they were a part of the native OS, including Nautilus integration. Hard fork of https://github.com/Fmst…
AI Infra 全栈从0入门学习资料：https://caomaolufei.github.io/AIInfraGuide/
一个基于Docker的Wine环境项目，专门用于在Linux系统上运行企业微信等Windows应用程序。
DeepSeek 4 Flash and PRO local inference engine for Metal, CUDA and ROCm
主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题
🚀 Efficient implementations for emerging model architectures
App for Codex / Claude Code / Pi / OpenCode / Kimi Code / Grok Build, vibe coding anytime, anywhere
An open-sourced research agent system deeply rooted in your Zotero library.
OmX - Oh My codeX: Your codex is not alone. Add hooks, agent teams, HUDs, and so much more.
你想蒸馏的下一个员工，何必是同事。蒸馏任何人的思维方式——心智模型、决策启发式、表达DNA。Distill how anyone thinks.
Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.
Benchmarking a single‑prompt Rust OS kernel implementation, comparing Claude Code Fable, Opus, and Sonnet.
AI agents running research on single-GPU nanochat training automatically