Home› Projects› ai-course-notes
ai-course-notes
TeX

ai-course-notes

389 份 AI/LLM 中文讲义,支持在线阅读、PDF 下载和 LaTeX 源码查看 | Stanford CS336/CS224R/CS25 · Berkeley LLM Agents · 南京大学生成式软件工程 · 硅谷101 · Agent 工程实践

by hqhq1025 · GitHub
Stars
Forks
Created
Last commit
Category
Language
agentsaiberkeleyTeX
View on GitHub
In plain words

Read and download a collection of Chinese AI course notes, with options for online viewing and LaTeX source access.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
ai-course-notes — GitHub preview card
📈 Star history
187166
2026-09-242026-11-08
📈 Track ai-course-notes

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

389 份 AI/LLM 中文讲义,支持在线阅读、PDF 下载和 LaTeX 源码查看 | Stanford CS336/CS224R/CS25 · Berkeley LLM Agents · 南京大学生成式软件工程 · 硅谷101 · Agent 工程实践

ai-course-notes has 187 stars on GitHub. It has been forked 12 times. ai-course-notes is written mainly in TeX. It has been in active development since 2026. Its main topics are agents, ai, berkeley, chinese.

❓ Frequently asked questions

What is ai-course-notes?

389 份 AI/LLM 中文讲义,支持在线阅读、PDF 下载和 LaTeX 源码查看 | Stanford CS336/CS224R/CS25 · Berkeley LLM Agents · 南京大学生成式软件工程 · 硅谷101 · Agent 工程实践

Is ai-course-notes open source?

ai-course-notes is an open-source project.

Is ai-course-notes free?

Yes. ai-course-notes is free and open source — you can use, modify and self-host it.

What language is ai-course-notes written in?

ai-course-notes is written mainly in TeX.

🏅 Maintainer of this project?
olud.ai badge — ai-course-notes

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=hqhq1025-ai-course-notes)](https://olud.ai/project/hqhq1025-ai-course-notes.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.