zergtant/pytorch-handbook resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

21678 stars · 5403 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An open-source Chinese-language book (PyTorch Handbook) that helps beginners quickly get started with deep learning development and research using PyTorch. It consists of tested Jupyter notebook tutorials covering tensors, autograd, CNNs, RNNs, fine-tuning, visualization, and multi-GPU training.

Use cases

• learn pytorch from scratch
• chinese pytorch tutorial book
• deep learning quick start with pytorch
• jupyter notebook examples for neural networks
• understand autograd and tensors
• multi-gpu distributed training tutorial
• mnist cnn classification example
• fine-tuning and transfer learning guide

When to choose

• you prefer learning PyTorch in Chinese with runnable, tested notebooks
• you want a structured beginner-to-intermediate path from tensors to CNNs, RNNs, and multi-GPU training
• you need practical examples like MNIST classification, logistic regression, and fine-tuning

When to avoid

• you need an official, always-current reference for the latest PyTorch release
• you require English-language materials
• you need a formal textbook with exercises and certification rather than community tutorials

Facets

learning-resource · maturity active

deep-learning machine-learning llm-training deep-learning machine-learning tutorials education python cross-platform pytorch chinese-language jupyter-notebooks open-book neural-networks tutorials gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="zergtant/pytorch-handbook")