A curated directory that organizes deep learning resources into categories including books, courses, videos, lectures, papers, and tutorials. It provides a centralized list for discovering and contributing links to external learning materials.
Project overview
It combines deep learning tutorials, projects, and communities into a single categorized resource list, addressing the problem of these materials being distributed across many external sources.
Project type
Learning Resources
Use cases
Learning & Education
Deployment
Refer to project documentation
License
License pending
Best for
Researchers, developers, and general users looking for a categorized directory of external deep learning tutorials, projects, and communities.
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 output is a categorized list of links to external deep learning resources; accessing the actual content requires navigating away from the project.
Hardware, operating system, GPU, data boundary, cost dependencies, and telemetry requirements are not documented.
Getting started
Setup difficulty and first success paths are not documented for this project.
Evidence and sources
GitHub project description: A curated list of awesome Deep Learning tutorials, projects and communities.
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).