AccumulateMore/CV

Project overview

A comprehensive collection of Jupyter Notebook study notes for deep learning, computer vision, NLP, and LLM agents, aggregating content from popular video courses. It is intended for self-learners seeking structured educational material and shared datasets.

Project type

Data Processing

Use cases

Learning & Education

Deployment

Refer to project documentation

License

License pending

Best for

• Self-learners seeking comprehensive study notes from popular video courses on deep learning, computer vision, NLP, and LLM agents.

Key capabilities

• Provides structured Jupyter Notebook study notes for computer vision and natural language processing based on courses by Li Mu, Wu Enda, and Tu Dui.
• Provides study notes on Large Language Models and AI Agents based on video tutorials.
• Shares datasets used by the tutorial videos for download.

Limitations and risks

• Images or formulas may not display completely when viewing the notes online via GitHub.
• Shared dataset links are distributed via Baidu Pan and may expire, causing them to become inaccessible over time.

Getting started

• The setup difficulty is rated as easy. The initial path to success involves downloading the repository files to access the educational content.

Evidence and sources

• GitHub project 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】
• README: 深度学习 视频讲解【主讲人：吴恩达】【对应笔记：300-354】
• README: 土堆&李沐&吴恩达&大飞 数据集（无偿分享）：
• README: 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。
• README: 大模型Agent 视频讲解【主讲人：大飞】【对应笔记：400-409】

Reviewed at: 2026-07-14T21:10:25Z