ChristosChristofidis/awesome-deep-learning

Project overview

A community-maintained directory that organizes links to deep learning resources into categories such as books, courses, videos, papers, and tutorials. It serves as a starting point for researchers, developers, and general users to discover external learning materials.

Use cases

Learning & Education

Deployment

Refer to project documentation

License

License pending

Best for

• Researchers, developers, and general users seeking a categorized index of external deep learning educational materials.

Key capabilities

• Organizes links to deep learning resources into categories including books, courses, videos and lectures, papers, and tutorials.
• Documents a pull-request process through which contributors can propose resources for inclusion in the list.

Limitations and risks

• The project links to external sources; availability, licensing, and quality of linked materials are governed by their respective hosts.

Getting started

• No installation or configuration steps are documented. Users access the list directly to browse categories.

Evidence and sources

• GitHub project description: A curated list of awesome Deep Learning tutorials, projects and communities.
• README: * **[Books](#books)** * **[Courses](#courses)** * **[Videos and Lectures](#videos-and-lectures)** * **[Papers](#papers)** * **[Tutorials](#tutorials)**
• README: Have anything in mind that you think is awesome and would fit in this list? Feel free to send a [pull request](https://github.com/ashara12/awesome-deeplearning/pulls).
• README: 1. [UFLDL Tutorial 1](http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial) 2. [UFLDL Tutorial 2](http://ufldl.stanford.edu/tutorial/supervised/LinearRegression/) 3. [De…
• README: 25. [Practical Deep Learning For Coders](http://course.fast.ai/) by Jeremy Howard - Fast.ai

Reviewed at: 2026-07-17T09:58:53Z