AccumulateMore/CV
✅(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】
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
笔记视频: Pytorch 视频讲解【主讲人:土堆】【对应笔记:100-122】 深度学习 视频讲解【主讲人:李沐】【对应笔记:200-268】 深度学习 视频讲解【主讲人:吴恩达】【对应笔记:300-354】 大模型Agent 视频讲解【主讲人:大飞】【对应笔记:400-409】 大模型Agent 视频讲解【主讲人:XXX】【对应笔记:500-5XX,预计明年上线】 "❤️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~❤️" 土堆&李沐&吴恩达&大飞 数据集(无偿分享): 补充说明:数据集链接如果失效了,下面有微信,可以联系我。 笔记备注(敲重点!敲重点!敲重点!): 搭建交流群,帮助孤单的自学者交流 超过200人,扫码入群方式失效,只能微信好友邀请入群。 看人之短,无一可交之人。看人之长,天下皆是吾师。 因为好友申请太多了,添加好友后,直接表达你的需求。 需求示例:…
Read the full README ↗ · Preview checked 2026-10-27T06:31:27.258Z
Inside the original README — Document outline
- 超级全面的 深度学习 笔记(包含CV、NLP、大模型、Agent)
- -------------------------------------------------------------
- -------------------------------------------------------------
- -------------------------------------------------------------
- -------------------------------------------------------------
- -------------------------------------------------------------
- -------------------------------------------------------------
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
✅(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】
Repository facts
- Owner
- AccumulateMore
- Primary language
- Jupyter Notebook
- Stars
- 24,180
- Forks
- 2,666
- Open issues + pull requests
- 29
- License
- Not reported — inspect the license file
- Archived
- No
- Default branch
- main
- Created
- 2022-03-31T13:19:32.000Z
- Last push
- 2026-09-20T00:41:31.000Z
Topics and intended use
Owner-supplied topics: agent, agents, book, chinese, computer-vision, cv, deep-learning, jupyter-notebook, llm, llms, machine-learning, natural-language-processing, nlp, notebook, python, rag
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-11-01T12:19:42.808Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.