d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
What this repository does
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Repository facts
- Owner
- d2l-ai
- Primary language
- Python
- Stars
- 29,608
- Forks
- 5,129
- Open issues + pull requests
- 196
- License
- Other
- Archived
- No
- Default branch
- master
- Created
- 2018-10-09T01:04:37.000Z
- Last push
- 2024-08-18T08:02:36.000Z
Topics and intended use
Owner-supplied topics: book, computer-vision, data-science, deep-learning, gaussian-processes, hyperparameter-optimization, jax, kaggle, keras, machine-learning, mxnet, natural-language-processing, notebook, python, pytorch, recommender-system, reinforcement-learning, tensorflow
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Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-09-15T06:38:54.881Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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