{"data":{"slug":"accumulatemore-cv","name":"CV","tagline":"超级全面的 深度学习 笔记","github_url":"https://github.com/AccumulateMore/CV","owner":"AccumulateMore","repo":"CV","owner_avatar_url":"https://avatars.githubusercontent.com/u/60348867?v=4","primary_language":"Jupyter Notebook","stars":23321,"forks":2617,"topics":["agent","agents","book","chinese","computer-vision","cv","deep-learning","jupyter-notebook","llm","llms","machine-learning","natural-language-processing","nlp","notebook","python","rag"],"archived":false,"github_pushed_at":"2026-06-30T14:36:23+00:00","maintenance_label":"Steady","stars_delta_30d":603,"url":"https://www.graphcanon.com/tools/accumulatemore-cv","markdown_url":"https://www.graphcanon.com/tools/accumulatemore-cv.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/accumulatemore-cv","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=accumulatemore-cv","description":"✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】","homepage_url":null,"license":null,"open_issues":26,"watchers":62,"ai_summary":"包含关于深度学习的笔记，重点在计算机视觉和自然语言处理领域，使用Pytorch框架。","readme_excerpt":"# 超级全面的 深度学习 笔记（包含CV、NLP、大模型、Agent）\n\n笔记视频：\n\nPytorch 视频讲解【主讲人：土堆】【对应笔记：100-122】\n\n1. https://www.bilibili.com/video/BV1hE411t7RN\n\n深度学习 视频讲解【主讲人：李沐】【对应笔记：200-268】\n\n1. https://space.bilibili.com/1567748478/lists/358497?type=series\n\n深度学习 视频讲解【主讲人：吴恩达】【对应笔记：300-354】\n\n1. https://www.bilibili.com/video/BV1FT4y1E74V\n\n大模型Agent 视频讲解【主讲人：大飞】【对应笔记：400-409】\n\n1. \n\n大模型Agent 视频讲解【主讲人：XXX】【对应笔记：500-5XX，预计明年上线】\n\n1. 占位符-占位符-占位符-占位符-占位符-占位符-占位符-占位符-占位符-占位符-占位符\n\n\"❤️如果我的笔记对你有帮助，欢迎点个Star⭐，你的支持是我更新的动力～❤️\"\n\n土堆&李沐&吴恩达&大飞 数据集（无偿分享）：\n\n1. 链接: https://pan.baidu.com/s/1KTW2WsTy6TFpNdK_WwjBmg 提取码: ppmu\n\n补充说明：数据集链接如果失效了，下面有微信，可以联系我。\n\n-------------------------------------------------------------\n-------------------------------------------------------------\n\n笔记备注（敲重点！敲重点！敲重点！）：\n\n1. 在线观看笔记时，有时会出现图片（或公式）显示不完整，这是Github网站没有解析好，笔记下载到本地观看就正常了。（不会下载笔记的，百度查一下\"Github如何下载文件\"。）\n2. Pycharm 的 Jupyter Notebook 打开笔记时，图片不会正常显示，笔记是用 Anaconda 的 Jupyter Notebook 打开的。（不会打开笔记的，百度查一下\"Anaconda如何打开Jupyter Notebook文件\"，或者我的主页Python仓库里面\"00_Python编辑器\"里面有写。）\n3. 安装 Jupyter Notebook 的目录插件，可以快速通过目录，跳转到相应的章节，如下图所示。（不会安装目录的，百度查一下\"Jupyter Notebook如何安装目录\"，或者我的主页Python仓库里面\"00_Python编辑器\"里面有相关链接。）\n\n\n\n-------------------------------------------------------------\n-------------------------------------------------------------\n\n搭建交流群，帮助孤单的自学者交流\n\n| 【深度学习 学习交流①群】 | 【深度学习 学习交流②群】 | 微信 |\n| -------- | -------- | -------- |\n|
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| \n\n超过200人，扫码入群方式失效，只能微信好友邀请入群。\n\n看人之短，无一可交之人。看人之长，天下皆是吾师。\n\n因为好友申请太多了，添加好友后，直接表达你的需求。\n\n| 需求示例 | 需求示例 | 需求示例 | \n| -------------------- | -------- | -------- | \n| 需要论文辅导（研0研1免费，半年掌握三年知识）
| 要进学习交流群
| 要数据集
|\n| 需要就业指导（指数级快速学习AI，快速拿到offer）
| 面试预演（简历拷打问题）
| 需要实习
|\n| 需要商业级项目（简历增添项目，提升核心竞争力）
| 指导改简历（从面试官角度出发）
| ......
|\n\n需求示例：\n1. \"❤️如果你有基础：可以帮你一个月工资涨几千块钱，一年就涨几万了❤️\"\n2. \"❤️如果你没有基础：可以帮你找到工作，一个月工资几万，一年几十万❤️\"\n\n-------------------------------------------------------------\n-------------------------------------------------------------\n\n帮你们就业，有意向的可以投简历\n\n联影医疗 地点(可选)：上海、北京、深圳、武汉、广州、成都、西安、沈阳、三亚等\n\n联影简介：上市千亿公司，在国家号召自主研发高端医疗器械背景下，发展前景十分广阔。\n\n\n\n补充：能内推简历的，也可以联系我【你收公司内推奖金、ta们就业，双赢】。\n\n| 内推名企 | 内推名企 | 内推名企 | 内推名企 | 内推名企 | 内推名企 | 内推名企 | 内推名企 |\n| --------- | ----------- | --------- | --------- | --------- | --------- | --------- | --------- |\n| 阿里巴巴
| 腾讯
| 美团
| 京东
| 拼多多
| 百度
| 字节跳动
| 华为
|\n| 小米
| OPPO
| vivo
| 联想
| 浪潮集团
| 用友网络
| 商汤科技
| 旷视科技
|\n| 中兴通讯
| 海康威视
| 大华股份
| 科大讯飞
| 蔚来汽车
| 理想汽车
| 小鹏汽车
| 比亚迪
|\n| 网易
| 快手
| 携程
| 同程旅行
| 顺丰科技
| 京东方
| 深信服
| 金山办公
|\n| 猿辅导
| 作业帮
| 得物
| 哔哩哔哩
| 深度求索
| MiniMax
| 喜马拉雅
| 滴滴
|\n| 高德地图
| 金山云
| 智谱
| 普华永道
| 德勤
| 安永
| 月之暗面
| 平安科技
|\n| 招联科技
| 寒武纪
| 地平线
| 依图科技
| 云从科技
| 知乎
| 小红书
| 小马智行
|\n| 文远知行
| 大疆
| 特斯拉
| 宁德时代
| 中创新航
| 比克电池
| GE医疗
| 西门子医疗
|\n\n-------------------------------------------------------------\n-------------------------------------------------------------\n\n我已经指导过上千位同学，即使市场大环境不好，很多同学都入职各家公司成功了。\n\n| 2024届年度 内推第一名 | 2024届年度 内推第一名 | 2024届年度 内推第一名 |\n| ------ | ------ | ------ |\n| | | |\n| 一起沾沾喜气，好运是可以传染的
| 一起沾沾喜气，好运是可以传染的
| 一起沾沾喜气，好运是可以传染的
|\n\n| 综合战绩，遥遥领先~ | 综合战绩，遥遥领先~ |\n| ------ | ------ | \n| | ","github_created_at":"2022-03-31T13:19:32+00:00","created_at":"2026-07-07T17:33:01.783317+00:00","updated_at":"2026-08-17T00:01:49.293483+00:00","categories":[{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"agent","name":"agent"},{"slug":"agents","name":"agents"},{"slug":"book","name":"book"},{"slug":"chinese","name":"chinese"},{"slug":"cv","name":"cv"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"jupyter-notebook","name":"jupyter-notebook"},{"slug":"llm","name":"llm"}],"trust":{"provenance":{"is_fork":false,"github_id":476314415,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-17T00:01:48.583Z","maintenance":{"label":"Steady","score":60,"methodology":"github_public_v1","releases_90d":0,"days_since_push":47,"last_release_at":null,"stars_delta_30d":603,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:00:09.557Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-17T00:01:49.013Z"},"languages":{"value":["jupyter notebook"],"source":"github.language","observed_at":"2026-08-17T00:01:49.013Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"CV is apparently offered freely. However, the unclear license may affect your usage rights."},"requirements":{"notes":["Ensure you have a suitable environment to run Jupyter Notebooks and have some understanding of Pytorch.","You should be comfortable with Chinese or capable of translating the resources for better comprehension."],"requires_docker":false},"constraints":{"pricing_model":"freemium","requires_docker":false},"when_to_use":["When you are specifically interested in deep learning projects that leverage Pytorch for tasks related to computer vision or natural language processing.","If you need materials that are in Chinese, as CV provides its resources primarily in this language."],"when_not_to_use":["Avoid using CV if your primary interest lies outside of computer vision and NLP within deep learning, since the resources heavily focus on these two areas.","Do not use this tool if you require detailed information or practical guidance in a language other than Chinese, as translation might reduce clarity."],"source":"enrich:decision_facts","observed_at":"2026-07-11T13:59:17.229Z"},"constraint_facets":{"pricing_model":"freemium","requires_docker":false},"decision_summary":[{"label":"Pricing","value":"freemium - CV is apparently offered freely. However, the unclear license may affect your usage rights."},{"label":"Requirements","value":"Ensure you have a suitable environment to run Jupyter Notebooks and have some understanding of Pytorch.; You should be comfortable with Chinese or capable of translating the resources for better comprehension."},{"label":"Adopt for","value":"CV is a comprehensive set of Jupyter Notebook-guided resources for learning about deep learning, particularly within computer vision and natural language processing using the Pytorch framework."},{"label":"License detail","value":"The license status for CV is unknown. Verify compatibility with your project's licensing requirements before using."}]}}