[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"similar-NeuromatchAcademy--course-content-dl":3,"tool-NeuromatchAcademy--course-content-dl":64},[4,17,27,35,43,56],{"id":5,"name":6,"github_repo":7,"description_zh":8,"stars":9,"difficulty_score":10,"last_commit_at":11,"category_tags":12,"status":16},3808,"stable-diffusion-webui","AUTOMATIC1111\u002Fstable-diffusion-webui","stable-diffusion-webui 是一个基于 Gradio 构建的网页版操作界面，旨在让用户能够轻松地在本地运行和使用强大的 Stable Diffusion 图像生成模型。它解决了原始模型依赖命令行、操作门槛高且功能分散的痛点，将复杂的 AI 绘图流程整合进一个直观易用的图形化平台。\n\n无论是希望快速上手的普通创作者、需要精细控制画面细节的设计师，还是想要深入探索模型潜力的开发者与研究人员，都能从中获益。其核心亮点在于极高的功能丰富度：不仅支持文生图、图生图、局部重绘（Inpainting）和外绘（Outpainting）等基础模式，还独创了注意力机制调整、提示词矩阵、负向提示词以及“高清修复”等高级功能。此外，它内置了 GFPGAN 和 CodeFormer 等人脸修复工具，支持多种神经网络放大算法，并允许用户通过插件系统无限扩展能力。即使是显存有限的设备，stable-diffusion-webui 也提供了相应的优化选项，让高质量的 AI 艺术创作变得触手可及。",162132,3,"2026-04-05T11:01:52",[13,14,15],"开发框架","图像","Agent","ready",{"id":18,"name":19,"github_repo":20,"description_zh":21,"stars":22,"difficulty_score":23,"last_commit_at":24,"category_tags":25,"status":16},1381,"everything-claude-code","affaan-m\u002Feverything-claude-code","everything-claude-code 是一套专为 AI 编程助手（如 Claude Code、Codex、Cursor 等）打造的高性能优化系统。它不仅仅是一组配置文件，而是一个经过长期实战打磨的完整框架，旨在解决 AI 代理在实际开发中面临的效率低下、记忆丢失、安全隐患及缺乏持续学习能力等核心痛点。\n\n通过引入技能模块化、直觉增强、记忆持久化机制以及内置的安全扫描功能，everything-claude-code 能显著提升 AI 在复杂任务中的表现，帮助开发者构建更稳定、更智能的生产级 AI 代理。其独特的“研究优先”开发理念和针对 Token 消耗的优化策略，使得模型响应更快、成本更低，同时有效防御潜在的攻击向量。\n\n这套工具特别适合软件开发者、AI 研究人员以及希望深度定制 AI 工作流的技术团队使用。无论您是在构建大型代码库，还是需要 AI 协助进行安全审计与自动化测试，everything-claude-code 都能提供强大的底层支持。作为一个曾荣获 Anthropic 黑客大奖的开源项目，它融合了多语言支持与丰富的实战钩子（hooks），让 AI 真正成长为懂上",138956,2,"2026-04-05T11:33:21",[13,15,26],"语言模型",{"id":28,"name":29,"github_repo":30,"description_zh":31,"stars":32,"difficulty_score":23,"last_commit_at":33,"category_tags":34,"status":16},2271,"ComfyUI","Comfy-Org\u002FComfyUI","ComfyUI 是一款功能强大且高度模块化的视觉 AI 引擎，专为设计和执行复杂的 Stable Diffusion 图像生成流程而打造。它摒弃了传统的代码编写模式，采用直观的节点式流程图界面，让用户通过连接不同的功能模块即可构建个性化的生成管线。\n\n这一设计巧妙解决了高级 AI 绘图工作流配置复杂、灵活性不足的痛点。用户无需具备编程背景，也能自由组合模型、调整参数并实时预览效果，轻松实现从基础文生图到多步骤高清修复等各类复杂任务。ComfyUI 拥有极佳的兼容性，不仅支持 Windows、macOS 和 Linux 全平台，还广泛适配 NVIDIA、AMD、Intel 及苹果 Silicon 等多种硬件架构，并率先支持 SDXL、Flux、SD3 等前沿模型。\n\n无论是希望深入探索算法潜力的研究人员和开发者，还是追求极致创作自由度的设计师与资深 AI 绘画爱好者，ComfyUI 都能提供强大的支持。其独特的模块化架构允许社区不断扩展新功能，使其成为当前最灵活、生态最丰富的开源扩散模型工具之一，帮助用户将创意高效转化为现实。",107662,"2026-04-03T11:11:01",[13,14,15],{"id":36,"name":37,"github_repo":38,"description_zh":39,"stars":40,"difficulty_score":23,"last_commit_at":41,"category_tags":42,"status":16},3704,"NextChat","ChatGPTNextWeb\u002FNextChat","NextChat 是一款轻量且极速的 AI 助手，旨在为用户提供流畅、跨平台的大模型交互体验。它完美解决了用户在多设备间切换时难以保持对话连续性，以及面对众多 AI 模型不知如何统一管理的痛点。无论是日常办公、学习辅助还是创意激发，NextChat 都能让用户随时随地通过网页、iOS、Android、Windows、MacOS 或 Linux 端无缝接入智能服务。\n\n这款工具非常适合普通用户、学生、职场人士以及需要私有化部署的企业团队使用。对于开发者而言，它也提供了便捷的自托管方案，支持一键部署到 Vercel 或 Zeabur 等平台。\n\nNextChat 的核心亮点在于其广泛的模型兼容性，原生支持 Claude、DeepSeek、GPT-4 及 Gemini Pro 等主流大模型，让用户在一个界面即可自由切换不同 AI 能力。此外，它还率先支持 MCP（Model Context Protocol）协议，增强了上下文处理能力。针对企业用户，NextChat 提供专业版解决方案，具备品牌定制、细粒度权限控制、内部知识库整合及安全审计等功能，满足公司对数据隐私和个性化管理的高标准要求。",87618,"2026-04-05T07:20:52",[13,26],{"id":44,"name":45,"github_repo":46,"description_zh":47,"stars":48,"difficulty_score":23,"last_commit_at":49,"category_tags":50,"status":16},2268,"ML-For-Beginners","microsoft\u002FML-For-Beginners","ML-For-Beginners 是由微软推出的一套系统化机器学习入门课程，旨在帮助零基础用户轻松掌握经典机器学习知识。这套课程将学习路径规划为 12 周，包含 26 节精炼课程和 52 道配套测验，内容涵盖从基础概念到实际应用的完整流程，有效解决了初学者面对庞大知识体系时无从下手、缺乏结构化指导的痛点。\n\n无论是希望转型的开发者、需要补充算法背景的研究人员，还是对人工智能充满好奇的普通爱好者，都能从中受益。课程不仅提供了清晰的理论讲解，还强调动手实践，让用户在循序渐进中建立扎实的技能基础。其独特的亮点在于强大的多语言支持，通过自动化机制提供了包括简体中文在内的 50 多种语言版本，极大地降低了全球不同背景用户的学习门槛。此外，项目采用开源协作模式，社区活跃且内容持续更新，确保学习者能获取前沿且准确的技术资讯。如果你正寻找一条清晰、友好且专业的机器学习入门之路，ML-For-Beginners 将是理想的起点。",84991,"2026-04-05T10:45:23",[14,51,52,53,15,54,26,13,55],"数据工具","视频","插件","其他","音频",{"id":57,"name":58,"github_repo":59,"description_zh":60,"stars":61,"difficulty_score":10,"last_commit_at":62,"category_tags":63,"status":16},3128,"ragflow","infiniflow\u002Fragflow","RAGFlow 是一款领先的开源检索增强生成（RAG）引擎，旨在为大语言模型构建更精准、可靠的上下文层。它巧妙地将前沿的 RAG 技术与智能体（Agent）能力相结合，不仅支持从各类文档中高效提取知识，还能让模型基于这些知识进行逻辑推理和任务执行。\n\n在大模型应用中，幻觉问题和知识滞后是常见痛点。RAGFlow 通过深度解析复杂文档结构（如表格、图表及混合排版），显著提升了信息检索的准确度，从而有效减少模型“胡编乱造”的现象，确保回答既有据可依又具备时效性。其内置的智能体机制更进一步，使系统不仅能回答问题，还能自主规划步骤解决复杂问题。\n\n这款工具特别适合开发者、企业技术团队以及 AI 研究人员使用。无论是希望快速搭建私有知识库问答系统，还是致力于探索大模型在垂直领域落地的创新者，都能从中受益。RAGFlow 提供了可视化的工作流编排界面和灵活的 API 接口，既降低了非算法背景用户的上手门槛，也满足了专业开发者对系统深度定制的需求。作为基于 Apache 2.0 协议开源的项目，它正成为连接通用大模型与行业专有知识之间的重要桥梁。",77062,"2026-04-04T04:44:48",[15,14,13,26,54],{"id":65,"github_repo":66,"name":67,"description_en":68,"description_zh":69,"ai_summary_zh":69,"readme_en":70,"readme_zh":71,"quickstart_zh":72,"use_case_zh":73,"hero_image_url":74,"owner_login":75,"owner_name":76,"owner_avatar_url":77,"owner_bio":78,"owner_company":79,"owner_location":79,"owner_email":79,"owner_twitter":80,"owner_website":81,"owner_url":82,"languages":83,"stars":96,"forks":97,"last_commit_at":98,"license":99,"difficulty_score":100,"env_os":101,"env_gpu":101,"env_ram":101,"env_deps":102,"category_tags":104,"github_topics":105,"view_count":10,"oss_zip_url":79,"oss_zip_packed_at":79,"status":16,"created_at":112,"updated_at":113,"faqs":114,"releases":140},1150,"NeuromatchAcademy\u002Fcourse-content-dl","course-content-dl","NMA deep learning course","course-content-dl是Neuromatch Academy推出的深度学习课程项目，专注于通过代码实践帮助学习者掌握深度学习核心技能。课程以问题导向的方式讲解如何选择适合深度学习的场景、设计最优模型架构、实现算法并验证结果，特别结合神经科学视角探索深度学习的创新方向。课程内容采用开放授权模式，既包含可直接使用的教学代码，也提供持续更新的电子教材。适合对深度学习有基础认知、希望提升工程实践能力的开发者和科研人员，尤其适合关注人工智能与神经科学交叉领域的学习者。课程强调伦理规范，通过结构化训练帮助用户建立完整的深度学习知识体系。","# Neuromatch Academy Deep Learning (NMA-DL) syllabus\n\u003C!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->\n[![All Contributors](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fall_contributors-3-orange.svg?style=flat-square)](#contributors-)\n\u003C!-- ALL-CONTRIBUTORS-BADGE:END -->\n\n*July 7 - 25, 2025*\n\n**Objectives**: Gain hands-on, code-first experience with deep learning theories, models, and skills that are useful for applications and for advancing science. We focus on how to decide which problems can be tackled with deep learning, how to determine what model is best, how to best implement a model, how to visualize \u002F justify findings, and how neuroscience can inspire deep learning. And throughout we emphasize the ethical use of DL. \n\nPlease check out [expected prerequisites here](https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fprecourse\u002Fblob\u002Fmain\u002Fprereqs\u002FDeepLearning.md)!\n\nThe content should primarily be accessed from our ebook: https:\u002F\u002Fdeeplearning.neuromatch.io\u002F [under continuous development]\n\nSchedule: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fblob\u002Fmain\u002Ftutorials\u002FSchedule\u002Fdaily_schedules.md\n\n----\n\n# Licensing\n\n[![CC BY 4.0][cc-by-image]][cc-by]\n\n[![CC BY 4.0][cc-by-shield]][cc-by] [![BSD-3][bsd-3-shield]][bsd-3]\n\nThe contents of this repository are shared under under a [Creative Commons Attribution 4.0 International License][cc-by].\n\nSoftware elements are additionally licensed under the [BSD (3-Clause) License][bsd-3].\n\nDerivative works may use the license that is more appropriate to the relevant context.\n\n[cc-by]: http:\u002F\u002Fcreativecommons.org\u002Flicenses\u002Fby\u002F4.0\u002F\n[cc-by-image]: https:\u002F\u002Fi.creativecommons.org\u002Fl\u002Fby\u002F4.0\u002F88x31.png\n[cc-by-shield]: https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-CC%20BY%204.0-lightgrey.svg\n\n[bsd-3]: https:\u002F\u002Fopensource.org\u002Flicenses\u002FBSD-3-Clause\n[bsd-3-shield]: https:\u002F\u002Fcamo.githubusercontent.com\u002F9b9ea65d95c9ef878afa1987df65731d47681336\u002F68747470733a2f2f696d672e736869656c64732e696f2f707970692f6c2f736561626f726e2e737667\n\n## Contributors ✨\n\nThanks goes to these wonderful people ([emoji key](https:\u002F\u002Fallcontributors.org\u002Fdocs\u002Fen\u002Femoji-key)):\n\n\u003C!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->\n\u003C!-- prettier-ignore-start -->\n\u003C!-- markdownlint-disable -->\n\u003Ctable>\n  \u003Ctbody>\n    \u003Ctr>\n      \u003Ctd align=\"center\" valign=\"top\" width=\"14.28%\">\u003Ca href=\"https:\u002F\u002Fwww.dendrites.gr\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FNeuromatchAcademy_course-content-dl_readme_65a691b18da6.png\" width=\"100px;\" alt=\"Spiros Chavlis\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Spiros Chavlis\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcommits?author=spirosChv\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcommits?author=spirosChv\" title=\"Tests\">⚠️\u003C\u002Fa> \u003Ca href=\"#infra-spirosChv\" title=\"Infrastructure (Hosting, Build-Tools, etc)\">🚇\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\" valign=\"top\" width=\"14.28%\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Febatty\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FNeuromatchAcademy_course-content-dl_readme_82ce9cfd6e3e.png\" width=\"100px;\" alt=\"Ella Batty\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Ella Batty\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcommits?author=ebatty\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcommits?author=ebatty\" title=\"Tests\">⚠️\u003C\u002Fa> \u003Ca href=\"#infra-ebatty\" title=\"Infrastructure (Hosting, Build-Tools, etc)\">🚇\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\" valign=\"top\" width=\"14.28%\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fiamzoltan\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FNeuromatchAcademy_course-content-dl_readme_32d5faf687f4.png\" width=\"100px;\" alt=\"Zoltan\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Zoltan\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcommits?author=iamzoltan\" title=\"Code\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcommits?author=iamzoltan\" title=\"Tests\">⚠️\u003C\u002Fa> \u003Ca href=\"#infra-iamzoltan\" title=\"Infrastructure (Hosting, Build-Tools, etc)\">🚇\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n  \u003C\u002Ftbody>\n\u003C\u002Ftable>\n\n\u003C!-- markdownlint-restore -->\n\u003C!-- prettier-ignore-end -->\n\n\u003C!-- ALL-CONTRIBUTORS-LIST:END -->\n\nThis project follows the [all-contributors](https:\u002F\u002Fgithub.com\u002Fall-contributors\u002Fall-contributors) specification. Contributions of any kind welcome!\n","# 神经匹配学院深度学习课程（NMA-DL）教学大纲\n\u003C!-- ALL-CONTRIBUTORS-BADGE:START - 请勿删除或修改此部分 -->\n[![所有贡献者](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fall_contributors-3-orange.svg?style=flat-square)](#contributors-)\n\u003C!-- ALL-CONTRIBUTORS-BADGE:END -->\n\n*2025年7月7日至25日*\n\n**目标**: 获得以代码为导向的实践经验，深入理解深度学习的理论、模型及技能，这些知识和技能既适用于实际应用，也有助于推动科学研究的发展。我们将重点探讨如何判断哪些问题适合用深度学习解决、如何选择最合适的模型、如何高效地实现模型、如何可视化并论证研究结果，以及神经科学如何为深度学习提供灵感。同时，贯穿始终强调深度学习的伦理使用。\n\n请在此处查看[预期先修条件](https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fprecourse\u002Fblob\u002Fmain\u002Fprereqs\u002FDeepLearning.md)！\n\n课程内容主要通过我们的电子书获取：https:\u002F\u002Fdeeplearning.neuromatch.io\u002F [持续开发中]\n\n课程安排：https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fblob\u002Fmain\u002Ftutorials\u002FSchedule\u002Fdaily_schedules.md\n\n----\n\n# 许可协议\n\n[![CC BY 4.0][cc-by-image]][cc-by]\n\n[![CC BY 4.0][cc-by-shield]][cc-by] [![BSD-3][bsd-3-shield]][bsd-3]\n\n本仓库的内容依据[知识共享署名4.0国际许可协议][cc-by]进行共享。\n\n软件相关部分额外采用[BSD（3条款）许可协议][bsd-3]授权。\n\n衍生作品可根据具体情境选择更合适的许可协议使用。\n\n[cc-by]: http:\u002F\u002Fcreativecommons.org\u002Flicenses\u002Fby\u002F4.0\u002F\n[cc-by-image]: https:\u002F\u002Fi.creativecommons.org\u002Fl\u002Fby\u002F4.0\u002F88x31.png\n[cc-by-shield]: https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-CC%20BY%204.0-lightgrey.svg\n\n[bsd-3]: https:\u002F\u002Fopensource.org\u002Flicenses\u002FBSD-3-Clause\n[bsd-3-shield]: https:\u002F\u002Fcamo.githubusercontent.com\u002F9b9ea65d95c9ef878afa1987df65731d47681336\u002F68747470733a2f2f696d672e736869656c64732e696f2f707970692f6c2f736561626f726e2e737667\n\n## 贡献者 ✨\n\n感谢以下各位优秀的贡献者（[表情符号说明](https:\u002F\u002Fallcontributors.org\u002Fdocs\u002Fen\u002Femoji-key))：\n\n\u003C!-- ALL-CONTRIBUTORS-LIST:START - 请勿删除或修改此部分 -->\n\u003C!-- prettier-ignore-start -->\n\u003C!-- markdownlint-disable -->\n\u003Ctable>\n  \u003Ctbody>\n    \u003Ctr>\n      \u003Ctd align=\"center\" valign=\"top\" width=\"14.28%\">\u003Ca href=\"https:\u002F\u002Fwww.dendrites.gr\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FNeuromatchAcademy_course-content-dl_readme_65a691b18da6.png\" width=\"100px;\" alt=\"Spiros Chavlis\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Spiros Chavlis\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcommits?author=spirosChv\" title=\"代码\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcommits?author=spirosChv\" title=\"测试\">⚠️\u003C\u002Fa> \u003Ca href=\"#infra-spirosChv\" title=\"基础设施（托管、构建工具等）\">🚇\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\" valign=\"top\" width=\"14.28%\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Febatty\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FNeuromatchAcademy_course-content-dl_readme_82ce9cfd6e3e.png\" width=\"100px;\" alt=\"Ella Batty\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Ella Batty\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcommits?author=ebatty\" title=\"代码\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcommits?author=ebatty\" title=\"测试\">⚠️\u003C\u002Fa> \u003Ca href=\"#infra-ebatty\" title=\"基础设施（托管、构建工具等）\">🚇\u003C\u002Fa>\u003C\u002Ftd>\n      \u003Ctd align=\"center\" valign=\"top\" width=\"14.28%\">\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fiamzoltan\">\u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FNeuromatchAcademy_course-content-dl_readme_32d5faf687f4.png\" width=\"100px;\" alt=\"Zoltan\"\u002F>\u003Cbr \u002F>\u003Csub>\u003Cb>Zoltan\u003C\u002Fb>\u003C\u002Fsub>\u003C\u002Fa>\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcommits?author=iamzoltan\" title=\"代码\">💻\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcommits?author=iamzoltan\" title=\"测试\">⚠️\u003C\u002Fa> \u003Ca href=\"#infra-iamzoltan\" title=\"基础设施（托管、构建工具等）\">🚇\u003C\u002Fa>\u003C\u002Ftd>\n    \u003C\u002Ftr>\n  \u003C\u002Ftbody>\n\u003C\u002Ftable>\n\n\u003C!-- markdownlint-restore -->\n\u003C!-- prettier-ignore-end -->\n\n\u003C!-- ALL-CONTRIBUTORS-LIST:END -->\n\n本项目遵循[all-contributors](https:\u002F\u002Fgithub.com\u002Fall-contributors\u002Fall-contributors)规范。欢迎任何形式的贡献！","# course-content-dl 快速上手指南\n\n## 环境准备\n- **系统**：任意支持现代浏览器的系统（Windows\u002FmacOS\u002FLinux）\n- **网络**：稳定互联网连接（ebook 需要外网访问）\n- **浏览器**：推荐 Chrome\u002FFirefox\u002FEdge（确保支持 HTML5 和 JavaScript）\n\n## 安装步骤\n无需安装。如需本地查看课程内容，克隆 GitHub 仓库（国内用户建议使用代理加速）：\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl.git\ncd course-content-dl\n```\n\n## 基本使用\n1. **直接访问在线课程**：打开以下链接即可开始学习：\n   https:\u002F\u002Fdeeplearning.neuromatch.io\u002F\n\n2. **本地查看（可选）**：  \n   克隆仓库后，进入 `tutorials` 目录使用 Jupyter Notebook 查看教程：\n   ```bash\n   jupyter notebook tutorials\u002F\n   ```\n   > 注意：需提前安装 Python 和 Jupyter（`pip install jupyter`），但推荐优先使用在线版。","李教授是某高校计算机系讲师，计划在2025年7月开设深度学习应用课程，需快速整合前沿教学资源以满足学生实践需求。\n\n### 没有 course-content-dl 时\n- - 需手动从GitHub、博客和论文中拼凑教程，耗时3周且内容碎片化，常遗漏关键模型实现细节。\n- - 课程大纲缺乏逻辑脉络，学生频繁询问“下一步该学什么”，导致课堂进度混乱。\n- - 缺少配套代码示例，学生理论学习后无法动手调试模型，实践环节效率低下。\n- - 未系统整合神经科学与深度学习的交叉案例（如脑机接口应用），内容偏重纯技术。\n- - 版权问题频发，部分资源需额外授权，影响课程快速开课。\n\n### 使用 course-content-dl 后\n- - 通过ebook（https:\u002F\u002Fdeeplearning.neuromatch.io\u002F）一键获取结构化课程内容，2天内完成资源整合。\n- - 依据daily_schedules.md制定清晰学习路径，学生能按日计划掌握CNN、Transformer等核心模块。\n- - 内置Jupyter笔记本含完整代码示例（如用PyTorch实现神经科学启发的模型），学生即时动手验证。\n- - 整合脑机接口等神经科学案例，帮助学生理解深度学习在生物医学中的实际价值。\n- - 开源许可（CC BY 4.0）确保内容可自由修改分发，避免版权纠纷，课程筹备提速50%。\n\ncourse-content-dl 将深度学习教学从资源碎片化、实践脱节的困境中解放，实现“理论-代码-伦理”全链路教学闭环。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FNeuromatchAcademy_course-content-dl_4581ef8d.png","NeuromatchAcademy","Neuromatch Academy","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002FNeuromatchAcademy_3b53554b.png","",null,"neuromatch","https:\u002F\u002Facademy.neuromatch.io\u002F","https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy",[84,88,92],{"name":85,"color":86,"percentage":87},"Jupyter Notebook","#DA5B0B",99.2,{"name":89,"color":90,"percentage":91},"Python","#3572A5",0.5,{"name":93,"color":94,"percentage":95},"HTML","#e34c26",0.3,802,289,"2026-03-31T14:52:57","CC-BY-4.0",1,"未说明",{"notes":103,"python":101,"dependencies":101},"该仓库为课程内容展示（含Jupyter Notebook），非可执行工具。实际运行需参考课程预习文档（https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fprecourse\u002Fblob\u002Fmain\u002Fprereqs\u002FDeepLearning.md）",[26,13],[106,107,108,109,110,111],"deep-learning","reinforcement-learning-algorithms","continual-learning","convolutional-neural-networks","recurrent-neural-networks","transformers","2026-03-27T02:49:30.150509","2026-04-06T07:13:14.059884",[115,120,125,130,135],{"id":116,"question_zh":117,"answer_zh":118,"source_url":119},5198,"书中的导入错误（如AttributeError）如何解决？","该错误已修复，无需额外操作。修复详情见GitHub Actions运行：https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Factions\u002Fruns\u002F1697719525","https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fissues\u002F544",{"id":121,"question_zh":122,"answer_zh":123,"source_url":124},5199,"如何访问2021年NMA课程内容？","将URL中的`main`分支替换为`NMADL2021`。例如，将https:\u002F\u002Fdeeplearning.neuromatch.io\u002Ftutorials\u002F...\u002Fmain\u002F... 改为 https:\u002F\u002Fdeeplearning.neuromatch.io\u002Ftutorials\u002F...\u002FNMADL2021\u002F...","https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fissues\u002F634",{"id":126,"question_zh":127,"answer_zh":128,"source_url":129},5200,"XOR问题是否可以用2个隐藏单元解决？","是的。方法：为每个输出为1的点分配一个隐藏单元，每个ReLU函数针对一个点并调整，使输出为1，然后将两个隐藏单元的输出相加。","https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fissues\u002F904",{"id":131,"question_zh":132,"answer_zh":133,"source_url":134},5201,"为什么训练集需要shuffle而测试集不需要？","训练时shuffle可避免数据顺序偏差（如前半部分数据干净、后半部分模糊），确保模型学习整体分布；测试时顺序不影响结果，因为不进行学习，只需计算平均准确率。","https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fissues\u002F722",{"id":136,"question_zh":137,"answer_zh":138,"source_url":139},5202,"jupyterbook中视频不显示，出现KeyboardInterrupt，如何解决？","在book._config.yml文件中设置`timeout: -1`。注意：此更改需要约4.5小时完成更新。","https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fissues\u002F418",[141,146,151,156,161,166,171,176,181,186,191,196,201,206,211,216],{"id":142,"version":143,"summary_zh":144,"released_at":145},104707,"v2.3.6","## What's Changed\r\n* Get main changes by @iamzoltan in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1015\r\n* Remove outdated daily survey links by @ViviNeuro in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1013\r\n* Staging by @iamzoltan in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1016\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcompare\u002Fv2.3.5...v2.3.6","2026-03-02T14:46:32",{"id":147,"version":148,"summary_zh":149,"released_at":150},104708,"v2.3.5","## What's Changed\r\n* Update sentiment_analysis project template by @Dammy-Joe in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1011\r\n* Staging by @iamzoltan in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1012\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcompare\u002Fv2.3.4...v2.3.5","2025-07-14T03:06:06",{"id":152,"version":153,"summary_zh":154,"released_at":155},104709,"v2.3.4","**Full Changelog**: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcompare\u002Fv2.3.3...v2.3.4","2025-07-11T00:07:36",{"id":157,"version":158,"summary_zh":159,"released_at":160},104710,"v2.3.3","## What's Changed\r\n* Fixing W1D4 optimization notebook problem by @MobinNesari81 in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1008\r\n* Update W1D4_Tutorial1.ipynb by @Dammy-Joe in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1007\r\n* Staging by @iamzoltan in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1010\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcompare\u002Fv2.3.2...v2.3.3","2025-07-10T19:10:35",{"id":162,"version":163,"summary_zh":164,"released_at":165},104711,"v2.3.2","## What's Changed\r\n* Update ideas_and_datasets.md by @iamzoltan in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1006\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcompare\u002Fv2.3.1...v2.3.2","2025-07-08T21:56:59",{"id":167,"version":168,"summary_zh":169,"released_at":170},104712,"v2.3.1","## What's Changed\r\n* Add \"Open in Colab\" and \"Open in Kaggle\" buttons by @MobinNesari81 in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1004\r\n* Staging by @iamzoltan in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1005\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcompare\u002Fv2.3.0...v2.3.1","2025-07-08T13:26:42",{"id":172,"version":173,"summary_zh":174,"released_at":175},104713,"v2.3.0","## What's Changed\r\n* Fixing all Reinforcement Learning notebooks in projects section by @MobinNesari81 in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1000\r\n* Fixed 3 project notebooks by @Dammy-Joe in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1002\r\n* Fix Segmentation and Denoising notebook by @MobinNesari81 in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1001\r\n* Staging by @iamzoltan in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F1003\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcompare\u002Fv2.2.4...v2.3.0","2025-07-06T15:10:18",{"id":177,"version":178,"summary_zh":179,"released_at":180},104714,"v2.2.4","## What's Changed\r\n* Iamzoltan patch 4 by @iamzoltan in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F991\r\n* Update projects by @iamzoltan in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F997\r\n* merge main to staging by @iamzoltan in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F999\r\n* Staging by @iamzoltan in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F998\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcompare\u002Fv2.2.3...v2.2.4","2025-07-03T03:18:28",{"id":182,"version":183,"summary_zh":184,"released_at":185},104715,"v2.2.3","## What's Changed\r\n* W3D1 T1 - replaced several out of date packages by @bgalbraith in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F996\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcompare\u002Fv2.2.2...v2.2.3","2025-06-27T00:48:14",{"id":187,"version":188,"summary_zh":189,"released_at":190},104716,"v2.2.2","## What's Changed\r\n* Update intro.ipynb by @iamzoltan in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F994\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcompare\u002Fv2.2.1...v2.2.2","2025-06-23T21:18:17",{"id":192,"version":193,"summary_zh":194,"released_at":195},104717,"v2.2.1","## What's Changed\r\n* Update materials.yml by @iamzoltan in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F988\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcompare\u002Fv2.2.0...v2.2.1","2025-06-10T03:15:24",{"id":197,"version":198,"summary_zh":199,"released_at":200},104718,"v2.2.0","## What's Changed\r\n* W2D3 T2 - downgrade packages to enable facenet to work by @bgalbraith in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F986\r\n* Changed W1D5 folder and tutorial file to W1D4 by @Dammy-Joe in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F980\r\n\r\n## New Contributors\r\n* @Dammy-Joe made their first contribution in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F980\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcompare\u002Fv2.1.1...v2.2.0","2025-06-10T03:03:30",{"id":202,"version":203,"summary_zh":204,"released_at":205},104719,"v2.1.1","## What's Changed\r\n* W3D3 - fixes for deprecated numpy method and OOM crashes by @bgalbraith in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F985\r\n\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcompare\u002Fv2.1.0...v2.1.1","2025-05-28T00:04:57",{"id":207,"version":208,"summary_zh":209,"released_at":210},104720,"v2.1.0","## What's Changed\r\n* docs: add spirosChv as a contributor for code, test, and infra by @allcontributors in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F966\r\n* docs: add ebatty as a contributor for code, test, and infra by @allcontributors in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F967\r\n* docs: add iamzoltan as a contributor for code, test, and infra by @allcontributors in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F968\r\n* Update README.md by @courtneydean33 in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F969\r\n* Update daily_schedules.md by @courtneydean33 in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F970\r\n* Update README.md by @courtneydean33 in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F971\r\n* Update daily_schedules.md by @courtneydean33 in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F973\r\n* Update Links_Policy.md by @courtneydean33 in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F972\r\n* W2D4 - fix broken plotting function due to breaking matplotlib change by @bgalbraith in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F977\r\n* W3D1 T2 - removed broken and unused pacakges; fixed deprecation and api change issues by @bgalbraith in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F983\r\n* W2D5 T1 - remove unneeded broken imports, replace deprecated broken packages by @bgalbraith in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F982\r\n* W2D5 T2 - removed breaking imports, fixed outdated api calls by @bgalbraith in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F981\r\n* Update to Projects Guidance & Links by @courtneydean33 in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F979\r\n* Delected daily surveys links from all days by @iamzoltan in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F984\r\n\r\n## New Contributors\r\n* @allcontributors made their first contribution in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F966\r\n* @bgalbraith made their first contribution in https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fpull\u002F977\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002FNeuromatchAcademy\u002Fcourse-content-dl\u002Fcompare\u002Fv2.0.1...v2.1.0","2025-05-19T19:26:36",{"id":212,"version":213,"summary_zh":214,"released_at":215},104721,"v2.0.1","This is the latest release of the Deep Learning course content book","2024-08-15T18:33:42",{"id":217,"version":218,"summary_zh":214,"released_at":219},104722,"v2.0.0","2024-06-13T19:12:22"]