Awesome Deep Learning

URL: https://github.com/ChristosChristofidis/awesome-deep-learning#readme
Category: Themed directories
Tags: awesome-lists, machine-learning, research

Overview

Awesome Deep Learning is a curated directory of deep learning resources, covering educational material, research, software frameworks, tools, and community links focused on neural networks and deep learning.

Features

• Curated Resource List

  • Focused on deep learning and neural networks
  • Includes tutorials, projects, and community resources

• Books

  • Collection of books on deep learning theory, practice, and applications

• Courses

  • Links to online courses and structured learning programs in deep learning

• Videos and Lectures

  • Recorded lectures, talks, and video series on deep learning topics

• Papers

  • Selected research papers in deep learning
  • Pointer to a dedicated list of most-cited deep learning papers

• Tutorials

  • Practical guides and step-by-step tutorials for learning and applying deep learning

• Researchers

  • References to notable researchers in the deep learning field

• Websites

  • Related websites and portals aggregating deep learning content or tools

• Datasets

  • Links to datasets commonly used in deep learning research and applications

• Conferences

  • List of relevant conferences where deep learning research is presented

• Frameworks

  • References to deep learning frameworks and libraries

• Tools

  • Auxiliary tools that support deep learning workflows (e.g., logging, experimentation)

• Miscellaneous

  • Other deep learning–related resources that do not fit in the main categories

• Community Contributions

  • Open to contributions via pull requests
  • Maintained as a collaborative GitHub repository

• License

  • Released under CC0 (public domain dedication)
  • Copyright and related rights waived by the author to the extent possible under law

Pricing

• Not applicable (free, open-source resource directory under CC0).