仓库级代码生成与 Issue 修复必读论文 🔥Must-read papers on Repository-level Code Generation & Issue Resolution 🔥
仓库/Skill 库
126 个 · 工程化 · AI 核心
面向教育领域的人工智能(AI)与大语言模型(LLM)论文精选。Awesome artificial intelligence (AI) and large language model (LLM) for education papers.
生产就绪的 FastAPI 平台,模块化组件,内置 control plane。A production-ready FastAPI platform with modular components and a built-in control plane.
:bookmark_tabs: 开放 CS/AI 知识库,包括「基础知识、数据结构与算法、软件开发、大模型」等体系化的笔记
类 GitHub 风格的 Jenkins CLI——在终端管理 context、构建运行、日志与管理员任务。GitHub-style CLI for Jenkins — manage contexts, runs, logs, and admin tasks from your terminal.
面向 ARM Cortex-M 与 RISC-V 的确定性固件模拟器,具备硬件验证的一致性。Deterministic firmware simulator for ARM Cortex-M and RISC-V — with hardware-validated parity
保存文章、AI 研究来源和 newsletter 邮件链接。准备好时再阅读。无第三方追踪。由 js-cookie 的作者基于其 10 年个人阅读系统打造。Save articles, AI research sources, and newsletter email links. Read them when you're ready. No third-party tracking. Built by the creator of js-cookie from a 10-year personal reading system.
[CoLM 2026] MoANT 官方代码:面向多任务大语言模型微调的语义感知秩一专家混合模型[CoLM 2026] Official code for MoANT: Mixture-of-Rank-One-Experts with semantic-aware Intuition for Multi-task Large Language Model Finetuning
🚀 掌握 prompt engineering,通过指南、示例与最佳实践优化 AI 交互,覆盖各技能水平与应用领域。🚀 Master prompt engineering to optimize AI interactions with guides, examples, and best practices for all skill levels and domains.
面向 AI 编码工具的桌面端聚焦型 Provider 管理器与路由器A focused desktop provider manager and router for AI coding tools.
AGI简史 — 持续更新的 AGI 知识体系 | A Brief History of AGI: books, knowledge base, and ecosystem tracking for the open-source LLM era
Promovolve 是一项试图找回杂志广告昔日魅力的尝试。Promovolve is an attempt to get back what magazine advertising had!
🧪 Cypress AI 命令,通过 LLM(大语言模型)生成 E2E 测试🧪 Cypress AI command that generates E2E tests with LLM (Large Language Model).
自动跟踪、下载并分析 HuggingFace 上的 AI 论文,轻松掌握前沿研究 🐙📄Automate the tracking, downloading, and analysis of AI papers from HuggingFace. Stay updated with cutting-edge research effortlessly! 🐙📄
🤖 利用 TRPO、PPO、DPO、GRPO、DAPO、GSPO 等先进算法提升强化学习的稳定性与效率,优化策略训练。🤖 Enhance reinforcement learning stability and efficiency with advanced algorithms like TRPO, PPO, DPO, GRPO, DAPO, and GSPO for optimized policy training.
自维护的 API 集成——监控代码所调用的第三方 API,在出现故障、漂移或浪费资金时自动提交经 CI 验证的 pull request。Self-maintaining API integrations — watches the third-party APIs your code calls and opens CI-verified pull requests when one breaks, drifts, or wastes money.
按模型自适应地缩放系统提示指引:一个 oh-my-pi 插件,按模型系列、版本与层级追加经过能力调优的指令块。Scales system-prompt guidance to the model reading it: an oh-my-pi plugin that appends a capability-tuned directive block chosen by model family, version, and tier.
Claude Code 扩展、hooks 和插件的实时索引,每 15 分钟从 GitHub 刷新一次。Live index of Claude Code extensions, hooks, and plugins — refreshed every 15 minutes from GitHub
MedTrack 是基于 React 与 Spring Boot 构建的全栈医疗设备管理系统,通过基于角色的安全访问简化库存、维护与设备订购流程。MedTrack is a full-stack medical equipment management system built with React and Spring Boot. It streamlines inventory, maintenance, and equipment orders through secure role-based access.
Dust:一款受 React/Vue 启发的现代化、组件化 Dart Web 框架,基于 WebAssembly(WASM)构建,具有高性能与流畅的开发体验,可使用 Dart 构建健壮、类型安全的 Web 应用。Dust: A modern, component-based Dart web framework inspired by React/Vue. Built with WebAssembly (WASM) for high performance and a seamless developer experience. Create robust, type-safe web applications with the power of Dart.
🐙 通过 Python 与 PyTorch 实战代码深入理解 LLM 内部机制,掌握 LLM 架构、训练及核心原理。🐙 Explore the inner workings of large language models with hands-on Python and PyTorch code. Master LLM architecture, training, and mechanisms for AI systems.
从零开始构建开源预训练 LLM,附带已发布的数据、训练代码、消融实验与结果,以高效提升模型质量。Build open pretraining LLMs from scratch with released data, training code, ablations, and results to improve model quality efficiently
准确捕获 macOS 听写内容,不改写你的措辞,保留真实输入并规避常见应用问题Capture macOS dictation accurately without rewriting your words, keeping your input true to what you speak and avoiding common app issues.
用知识图谱刻画 AI/ML 模型从创建到部署的完整生命周期。Knowledge Graph to capture AI/ML model lifecycle from creation through deployments.
🖥️ 通过终端中键盘优先的 Kanban board 简化工作流,实现快速、专注的任务管理。🖥️ Streamline your workflow with a keyboard-first Kanban board in your terminal for fast, focused task management.
Hyper Terminal 2026:下一代 Web 技术 CLI ⚡ | 免费开源Hyper Terminal 2026: Next-Gen Web Tech CLI ⚡ | Free & Open Source
适用于 macOS 与 Linux 的个人 dotfiles,由 GNU Stow 管理。Personal dotfiles for macOS & Linux, managed by GNU Stow.
🤖 仅需 10 行代码即可在 Android 上免 root 自动回复聊天消息,适合使用 Autojs 或 Hamibot 进行测试。🤖 Automate chat replies on Android without root using just 10 lines of code. Ideal for testing with Autojs or Hamibot.
证据约束的代码诊断工作台:确定性静态分析拥有源码事实,LLM 只提假设,resolver/validator 决定能否绑定回真实操作——证据不足保持 unknown/abstained,从架构抑制幻觉。已在真实开源项目发现 bug(stunner #89 已被上游确认修复)。Python。