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A protocol that recasts the primary research object from narrative document to machine-executable knowledge package — so AI agents can navigate, reproduce, and extend published research without re-…
Your Personal AI super intelligence. Private, Simple and extremely powerful.
大概是2020年最全的免费可商用字体,这里收录的商免字体都能找到明确的授权出处,可以放心使用,持续更新中...
The Prometheus monitoring system and time series database.
The agent that grows with you
收录最全、更新最快的技能Skills 商店,涵盖文档处理、内容创作、编程开发、机器学习、自动化工作流等多个领域的 72 个精选技能包。所有技能已打包完成,可直接安装使用! 该商店中自动抓取了 Github 上的所有的 Skills 项目,并按照分类、更新时间、Star 数量等标签进行整理。
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works…
Python tool for converting files and office documents to Markdown.
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…
MicroBoot 是一个由模块化代码组成的框架,旨在简化和加速嵌入式单片机程序的升级和开发过程。
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
分享AI Infra知识&代码练习:PyTorch/vLLM/SGLang框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等
仅需Python基础,从0构建自己的具身智能机器人;从0逐步构建VLA/OpenVLA/SmolVLA/Pi0, 深入理解具身智能
📚 从零开始的向量数据库原理与实践教程,在线阅读地址:https://easy-vecdb.datawhale.cc/
Lock-free SPSC FIFO ring buffer with direct access to inner data
Unsupervised text tokenizer for Neural Network-based text generation.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Stock research skill for AI agents — A-share, HK, US. Plan → fetch → validate → report.
A full library to implement free energy principle + active inference in embodied software and hardware agents.
⌨️ A curated list of awesome tools, demos and resources to go beyond LaTeX
🎓 系统性大语言模型构建课程|🛠️ 覆盖预训练数据工程、Tokenizer、Transformer、MoE、GPU 编程 (CUDA/Triton)、分布式训练、Scaling Laws、推理优化及对齐 (SFT/RLHF/GRPO)|🚀 6 个渐进式作业 + 代码驱动,建立 LLM 全栈认知体系
Rust bindings for the C++ api of PyTorch.
EasyXT是基于miniqmt中xtquant的二次开发封装库,旨在简化xtquant的使用,提供更友好的API接口。通过统一的接口设计、智能参数处理和完善的错误处理,让量化交易开发变得更加简单高效。