ShusenTang/Dive-into-DL-PyTorch resource

Health v2 · maintenance only

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Adoption not part of the score

19466 stars · 5403 forks observed · 2026-08-28

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

A Chinese-language adaptation of the 'Dive into Deep Learning' (D2L) textbook that replaces the original MXNet code with PyTorch implementations. It provides Jupyter Notebook tutorials covering deep learning fundamentals through computer vision and NLP applications.

Use cases

• learn deep learning with pytorch
• chinese-language deep learning textbook
• dive into deep learning pytorch edition
• hands-on pytorch tutorials with notebooks
• study computer vision and nlp basics
• convert d2l mxnet examples to pytorch

When to choose

• you want to learn deep learning theory alongside runnable PyTorch code
• you prefer Chinese-language instructional material
• you want a free, well-structured alternative to a paid deep learning course

When to avoid

• you need up-to-date coverage of modern architectures like transformers or LLMs
• you prefer TensorFlow, JAX, or MXNet examples
• you need actively maintained content with recent updates

Facets

learning-resource · maturity maintenance

deep-learning machine-learning nlp computer-vision deep-learning machine-learning tutorials computer-vision python cross-platform pytorch d2l jupyter-notebook chinese tutorial textbook-translation natural-language-processing

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markdown · JSON · MCP: product_card(name="ShusenTang/Dive-into-DL-PyTorch")