AGI资料汇总学习(主要包括LLM和AIGC),持续更新......
仓库/Skill 库
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🎯 权威合集,收录 50+ 经过验证的 Awesome Claude Skills,覆盖 Claude Code、Claude.ai 与 API。通过 TDD、调试、git 工作流、文档处理等提升生产力。由社区驱动并持续维护。🎯 The definitive collection of 50+ verified Awesome Claude Skills for Claude Code, Claude.ai, and API. Boost productivity with TDD, debugging, git workflows, document processing, and more. Community-driven, actively maintained.
Awesome Jev:一份有来源支持的 TypeSafe System One 模型实地指南,包含 SDK、在线 demo、Agent 工具和独立评测。Awesome Jev: a source-backed field guide to TypeSafe's System One model, with SDKs, live demos, agent tools, and independent evaluations.
精选的可复现研究案例、项目、教程与媒体资源列表。A curated list of reproducible research case studies, projects, tutorials, and media
差分隐私联邦学习系统综述(ACM Survey);Adap dp-fl:自适应噪声的差分隐私联邦学习(TrustCom'2022)Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with adaptive noise (TrustCom'2022)
一个精选列表,收录 TypeSafe、System One 模型及 Jev 的官方资源与社区项目。A curated list of official resources and community projects for TypeSafe, System One models, and Jev.
Awesome Jev:源支持的开源生态雷达,通俗语言的项目发现,以及自动 GitHub 同步Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync
预训练基础推荐模型论文清单Paper List of Pre-trained Foundation Recommender Models
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 🔥
808 个经过验证的 Jev(TypeSafe AI 的 System One 决策模型)示例,按其所做的决策(而非提及它的博客)建立索引。CI 每周重新读取所有被引用的调用站点。支持 EN/中文双语、JSON schema 及跨平台兼容性表。808 verified examples of Jev — TypeSafe AI's System One decision model — indexed by the decision each one makes, not the blog that mentioned it. Every cited call site is re-read by CI each week. Bilingual EN/中文, JSON schema, and a cross-platform compatibility table.
[TOSEM 2026] 大语言模型在自动化程序修复中的系统文献综述[TOSEM 2026]A Systematic Literature Review on Large Language Models for Automated Program Repair
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.
按性价比排序的循证生活指南:长寿防病、急救、省钱理财、法律红线、失业与工伤、医保社保、恋爱婚育、怀孕育儿、创业与做平台合规、出国与技能。每条写明成本、收益、证据等级和原始出处,只引期刊论文与官方文件。
🎓 通往免费自学电气工程的路径。🎓 Path to a free self-taught education in Electrical Engineering
🔥一份关于最新视频推理任务、范式与基准的开源综述。🔥An open-source survey of the latest video reasoning tasks, paradigms, and benchmarks.
经过策展的 Model Context Protocol(MCP)server 目录,用于发现和集成 AI 工具、数据源和服务。涵盖数据库、开发者工具、Web 自动化、云基础设施、生产力、AI Agent、analytics 等众多领域的 MCP server。A curated catalog of Model Context Protocol (MCP) servers for discovering and integrating AI tools, data sources, and services. Explore MCP servers across databases, developer tools, web automation, cloud infrastructure, productivity, AI agents, analytics, and more.
Jev 的 demo、项目、SDK 与 Skill,附带源码链接和精选的 X 画廊。Jev demos, projects, SDKs and skills, with source links and a curated X gallery.
集成五个 Agent skill 的 LaTeX 稿件工作流,包含项目诊断、可复现构建以及离线变更审查。LaTeX manuscript workflows with five agent skills, project diagnostics, reproducible builds and offline change review.
一篇关于 Ontology Engineering、Graph Engineering、Loop Engineering、Harness Engineering、Context Engineering 与 Prompt Engineering 的综述A Survey on Ontology Engineering, Graph Engineering, Loop Engineering, Harness Engineering, Context Engineering and Prompt Engineering
适用于 OpenAI Codex 的研究类 skills 精选清单,覆盖写作、文献综述、评估与研究工作流A curated list of research-oriented skills usable in OpenAI Codex, covering writing, literature review, evaluation, and research workflows.
本综述目标有二:(i) 综述对抗机器学习(AML)在推荐系统(RS)安全上的最新进展,即攻击与防御推荐模型;(ii) 展示 AML 在生成对抗网络(GAN)生成应用中的成功应用,得益于其学习(高维)数据分布的能力。本文对发表于主流 RS 与 ML 期刊会议的 74 篇文献进行了详尽综述,可作为 RS 社区在推荐系统安全及利用 GAN 提升生成模型质量方面的参考The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
精选 AI 动画与视频:作品封面、可播放案例、作者原始提示词与来源。Curated AI motion & video with original prompts. Focused on Claude Opus 5.5.
深度学习与 EEG 系统文献综述的补充材料Supplementary material for systematic literature review on deep learning and EEG.
用 30 秒找到适合你的 DeepSeek Harness 插件。 不只是仓库列表:这里告诉你插件解决什么问题、适合谁,以及从哪里开始。
Claude Fable 5 终极指南 2026:使用场景、集成与基准测试Ultimate Claude Fable 5 Guide 2026: Use Cases, Integrations & Benchmarks
使用 GPT-6 Astra 构建的趣味游戏精选集,含源代码、demo 与 prompt。| GPT-6 Astra 游戏精选A curated collection of fun games built with GPT-6 Astra, with source code, demos, and prompts. | GPT-6 Astra 游戏精选
DeepSeek Harness plugin store, marketplace and hub — 3,100+ dsh plugins with search, rankings, install commands and a free public API. DeepSeek Harness 插件市场 / 插件商店:自动收集与格式校验,免费搜索 API。deepseek1024.com
精选的 DeepSeek Harness (DSH) 插件、扩展、工具、skills、客户端、运行时、集成与已验证参考——英文与中文双版本。Curated DeepSeek Harness (DSH) plugins, extensions, tools, skills, clients, runtimes, integrations, and verified references — English and Chinese.
DeepSeek Harness (DSH) 的精选插件、Skill、MCP server、patch/profile 层、编排器与 UI 列表,涵盖可视化、PPT、编码、Agent、Loops (auto-research) 等。#dshA curated list of plugins, skills, MCP servers, patch/profile layers, orchestrators & UIs for DeepSeek Harness (DSH). Visualization · PPT · Coding · Agents · Loops (auto-research) and more. #dsh
由 AI Pulse Georgia 策划的尖端 AI agent 框架、开发者工具与自动化资源精选集A curated collection of cutting-edge AI agent frameworks, developer tools, and automation resources — by AI Pulse Georgia
一个持续更新的、机器可读的开源项目目录,包含实用摘要、分类、质量信号与透明评分。A living, machine-readable catalog of open-source projects with practical summaries, categories, quality signals and transparent scoring.
围绕代码 Agent 的前沿研究活体合集,从我们构建的代码到我们行动的世界。A living collection of frontier research on code agents, from the code we build to the worlds we act in.
: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