Ma-Lab-Berkeley/deep-representation-learning-book resource

Health v2 · maintenance only

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Adoption not part of the score

1034 stars · 113 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Source repository for the open book 'Learning Deep Representations of Data Distributions', written in LaTeX with Python code that generates the book's figures. It lets readers build the book or individual chapters, run figure code, and contribute translations or content.

Use cases

• learn deep representation learning from a free textbook
• build a deep learning book pdf from latex source
• run python code that generates book figures
• find a free book on deep representations of data distributions
• contribute translations to an open machine learning book

When to choose

• you want a rigorous, freely available text on deep representation learning
• you want to rebuild the book or chapters yourself
• you want the code behind the book's figures

When to avoid

• you just want to read the book - use the published PDF instead
• you need a software library or tool for training models
• you need a stable, licensed dependency for a project

Facets

learning-resource · maturity active

documentation data-visualization machine-learning deep-learning machine-learning tutorials education python cross-platform latex-book textbook representation-learning open-textbook figure-code

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