#5555th of 88 in Learning and cookbooks
leedl-tutorial
Chinese-language deep learning textbook based on Hung-yi Lee's ML course
- Stars
- 16.9k
- License
- custom license
- Last commit
- Oct 2026
- Last release
- Jun 2025
- Language
- Jupyter Notebook
16,345 on 20 Apr 202616,870 on 9 Nov 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
A Chinese-language book (the "Apple Book") built from Hung-yi Lee's 2021 Spring Machine Learning course, with some 2017 material and extra topics. It works through the derivations behind optimization, CNNs, Transformers, GANs, diffusion models, reinforcement learning and ChatGPT, and links to homework code in a Homework folder. A print edition exists alongside the free PDF.
Who it is for: Chinese readers learning deep learning theory alongside Lee's course
Strengths
- Gives detailed formula derivations for the concepts it covers
- Chapters span optimization, CNNs, Transformers, GANs, diffusion, RL, meta-learning and ChatGPT
- Includes homework code in a Homework folder
- Free PDF in releases, plus a public errata page
Weaknesses
- Written only in Chinese
- CC BY-NC-SA 4.0 license forbids commercial use
- Course-based theory text, not a runnable library or tool
- PDF is a draft that differs from the edited print edition
What changed
From the release notes. No flag means the note does not say so, not that the upgrade is safe.
Quick answers
Is leedl-tutorial open source?
Its code is public on GitHub under its own license terms; read them before you use it at work.
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