Deep-Representation-Learning-Book

Visit Tool

deep-representation-learning-book is an open-source repository providing the source code for the book 'Learning Deep Representations of Data Distributions'. It allows users to build the book, use code examples, or contribute content.

Claim this tool

No Views Yet

At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is deep-representation-learning-book?

The deep-representation-learning-book repository hosts the complete source code for the academic book 'Learning Deep Representations of Data Distributions'. It is designed for users who wish to compile the book or individual chapters from scratch, access the code used to generate figures within the book, or contribute to its content, including translations or technical additions. The repository provides detailed instructions for building the book using LaTeX, running Python code examples with `uv`, and even building the associated website. While the book itself can be read online, this repository serves as the foundational resource for those looking to engage with its technical underpinnings or contribute to its ongoing development.

Best used for

Ideal for professors and teachers who need to access the underlying code for deep representation learning concepts, build the book for offline use, and contribute to academic resources. Especially valuable for those teaching or researching advanced machine learning topics and seeking to engage with the material at a code level.

Common actions

learn deep learning

access research code

contribute to book

compile academic texts

deepfakeopen-sourceworkflowscollaborationlow-code/no-codeautomated workflowface swappinggithub copilot"AI Agents"

Capabilities

Key features

Build book from source
Run code examples
Build website
Contribute content
LaTeX compilation

Target Audience

professorteacher

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

Do I need this repository to read the book 'Learning Deep Representations of Data Distributions'?

No, you do not need this repository just to read the book. An online version of the book is available and updated periodically. This repository is primarily for those who wish to build the book from source, use its code, or contribute to its content.

What are the prerequisites for building the book from this repository?

To build the book, you will need a local pdflatex distribution (TexLive is recommended) and a binary of latexmk. These tools are essential for compiling the LaTeX source files into a PDF document.

How can I run the Python code examples provided in the book?

You can run the Python code examples by navigating to the relevant chapter's code directory within the repository. First, ensure you have the `uv` Python package manager installed, then run `uv sync` to set up the virtual environment, and finally `uv run <filename>` for the desired script.

Trending

Subcategories trending in Research & Education

Academic Research Study Assistants Knowledge Management Scientific Computing Summarization Language Learning

Trending

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce