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    All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this repository, related repositories, and associated websites are for identification purposes only. The use of these names, logos, and brands does not imply endorsement, affiliation, or sponsorship. This directory may include content generated by artificial intelligence.
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    1. Home
    2. Themed Directories
    3. Awesome Deep Learning

    Awesome Deep Learning

    An Awesome directory of deep learning resources, including frameworks, tutorials, and research papers focused on neural networks.

    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).
    Surveys

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    Information

    Websitegithub.com
    PublishedDec 25, 2025

    Categories

    1 Item
    Themed Directories

    Tags

    3 Items
    #awesome-lists#machine-learning#research

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