dsgiitr/d2l-pytorch resource

Health v2 · maintenance only

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Adoption not part of the score

4359 stars · 1232 forks observed · 2026-08-28

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

A Jupyter Notebook adaptation of the 'Dive Into Deep Learning' book, converting its MXNet code examples into PyTorch. It covers deep learning fundamentals from linear regression through NLP and computer vision topics.

Use cases

• learn deep learning with PyTorch
• study the Dive Into Deep Learning book with PyTorch code
• find PyTorch implementations of classic deep learning models
• learn linear regression and softmax regression from scratch
• study CNNs, RNNs, and attention mechanisms with runnable notebooks
• get a hands-on introduction to NLP and computer vision in PyTorch

When to choose

• you want to learn deep learning theory alongside runnable PyTorch code
• you prefer PyTorch over MXNet for the D2L book
• you want free, notebook-based deep learning tutorials

When to avoid

• you need the complete, up-to-date PyTorch port of D2L (use the official d2l-ai/d2l-en repo)
• you need a maintained library or production tooling
• you want MXNet-based examples

Facets

learning-resource · maturity abandoned

deep-learning machine-learning nlp computer-vision deep-learning machine-learning tutorials education python pytorch jupyter-notebooks d2l book-adaptation educational

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markdown · JSON · MCP: product_card(name="dsgiitr/d2l-pytorch")