#5959th of 65 in Learning and cookbooks
practicalai-cn
Chinese translation of practicalAI machine learning notebooks using PyTorch
- Stars
- 6.9k
- License
- MIT
- Last commit
- Apr 2026
- Language
- Jupyter Notebook
6,682 on 3 Apr 20266,936 on 30 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
A Chinese-language fork of Goku Mohandas's practicalAI course: Jupyter notebooks covering Python, NumPy, Pandas, regression, random forests, PyTorch, CNNs, RNNs and embeddings. Notebooks run in Google Colab without local setup, or can be read through nbviewer. Several advanced and topic notebooks appear in the table without links.
Who it is for: Chinese-speaking beginners learning machine learning with PyTorch
Strengths
- Runs in Google Colab in the browser, no local install needed
- Progresses from Python basics to CNNs, RNNs and embeddings in numbered notebooks
- Includes a notebook on object-oriented ML code structure in PyTorch
- Notebooks can be read without running via nbviewer URL swap
Weaknesses
- Many advanced and topic notebooks are listed without links
- Translator credits for notebooks 11, 13, 14 and 15 are blank
- Classic deep learning only; no LLM or generative AI tooling
- Setup relies on a Google account; local run steps are not documented
What it needs
- Needs Google Colab, PyTorch, Jupyter
Quick answers
Is practicalai-cn open source?
Yes. Its code is on GitHub under the MIT license.
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|---|---|---|
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| 2 | generative-ai-for-beginners21-lesson course on building generative AI apps in Python and TypeScript | 81 out of 100 |
| 3 | rag_techniquesCollection of 42 runnable notebooks implementing RAG techniques | 79 out of 100 |
| #4 | cs249r_bookOpen textbook and course materials for machine learning systems engineering | 79 out of 100 |
| #5 | ai-agents-for-beginners18-lesson course on building AI agents with Microsoft Agent Framework | 78 out of 100 |