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awesome-tensorflow-js

github.com/aaronhma/awesome-tensorflow-js ↗

Awesome TensorFlow.js - A curated list of dedicated resources to master TensorFlow.js

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54
Curated Resources
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4 hours ago
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📖 Learn🔨 Tools🎉 Community

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me social media resources from awesome-tensorflow-js"

Installation instructions →

What's inside

🎉 Community

  • Aaron MaSocial Media

    World's youngest TensorFlow contributor!

  • Daniel SmilkovSocial Media

    Co-creator of TensorFlow.js.

  • Gant LabordeSocial Media

    Web & Machine Learning GDE.

  • Jason MayesSocial Media

    Developer advocate for TensorFlow.js.

  • Laurence MoroneySocial Media

    Lead of AI Developer Relations at Google.

  • #MadeWithTFJSSocial Media

    See what the community has made and share your work!

🔨 Tools

  • AiJSTools/Utilities

    A curated collection of inspirational AI-powered JavaScript apps.

  • CodePenTools/Utilities

  • Danfo.jsLibraries

    High-performance, intuitive, and easy-to-use data structures for manipulating and processing structured data. (Inspired by Pandas)

  • face-api.jsLibraries

    JavaScript API for face detection and face recognition in the browser and Node.js with tensorflow.js.

  • GlitchTools/Utilities

    Build fast, full-stack web apps in browser for free (Tensorflow.js templates).

  • handtrack.jsLibraries

    A library for prototyping realtime hand detection (bounding box), directly in the browser.

📖 Learn

  • API Reference📃 Documentation

  • Beginning ML with TensorFlow.js📝 Tutorials

    Full online course for web devs to get into TF.js.

  • BodyPix🤩 Powered by TensorFlow.js

    A real-time person and body-part segmentation in the browser.

  • Color Blind Tensors🎥 Videos

    Manipulate image tensors to perceive color blindness, live coding.

  • Deep Learning with JavaScript📚 Books

    Learn to use TensorFlow.js to build deep learning models that run directly in the browser, master all the basics of deep learning and explore advanced concepts, like retraining existing models for transfer learning and image generation by Shanqing Cai, Stanley Bileschi, Eric D. Nielsen and Francois Chollet.

  • Effective TensorFlow.js📝 Tutorials

    TensorFlow.js tutorials and best practices.

Showing a sample of 54 resources. View the full list on GitHub →