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 Awesome TensorFlowJS !Awesome (https://awesome.re/badge.svg) (https://awesome.re)
 Awesome TensorFlowJS !Awesome (https://awesome.re/badge.svg) (https://awesome.re)
TensorFlow.js is an open source software library to develop machine learning models in JavaScript, and use machine learning
TensorFlow.js is an open source software library (https://github.com/tensorflow/tfjs) to develop machine learning models in JavaScript, and use machine learning
(training and inference) directly in the browser or Node.js.
This list is a collection of the best TensorFlow.js (https://www.tensorflow.org/js) tools, resources, videos and shiny things.
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Contents
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- Contributions (#contributions)
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Learn
📖 Learn
Documentation
📃 Documentation
- Official Documentation (https://www.tensorflow.org/js/guide)
- API Reference (https://js.tensorflow.org/api/latest/)
Tutorials
📝 Tutorials
- TensorFlow.js gallery (https://github.com/tensorflow/tfjs/blob/master/GALLERY.md) - A collection of TensorFlow.js projects, tutorials, videos, and more.
- Machine Learning Crash Course (https://developers.google.com/machine-learning/crash-course/) - Google's fast-paced, practical introduction to machine learning.
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- Effective TensorFlow.js (https://effectivemachinelearning.com/TensorFlow.js) - TensorFlow.js tutorials and best practices.
Models/Projects
🤖 Models/Projects
- Official tfjs models on TensorFlow.js repo (https://github.com/tensorflow/tfjs-models) - Pretrained models for TensorFlow.js.
- Official tfjs models on TensorFlow.js website (https://www.tensorflow.org/js/models) - Explore pre-trained TensorFlow.js models that can be used in any project out of the box.
@@ -57,14 +57,14 @@
- Official tfjs demo website (https://www.tensorflow.org/js/demos) - See examples and live demos built with TensorFlow.js!
Papers
📎 Papers
- TensorFlow.js: Machine Learning for the Web and Beyond (https://arxiv.org/abs/1901.05350) - This paper describes the design, API, and implementation of TensorFlow.js, and highlights some of the impactful use cases.
- JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training (https://arxiv.org/abs/1910.07402) - The experimental results show that training a neural network in distributed web browsers is feasible and 
accurate, has a high scalability, and it is an interesting area for research.
- JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training (https://arxiv.org/abs/1910.07402) - The experimental results show that training a neural network in distributed web browsers is feasible and accurate, 
has a high scalability, and it is an interesting area for research.
Videos
🎥 Videos
- Official TensorFlow.js video series (https://www.youtube.com/playlist?reload=9&list=PLs6AluHXaQnjeI6jzDkpKXvbPj31i4GgF) - The YouTube content focuses on TensorFlow ecosystem updates.
- TensorFlow.js: ML for the web and beyond (https://youtu.be/iH9CS-QYmZs) - TensorFlow Dev Summit 2020.
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- Color Blind Tensors (https://www.youtube.com/watch?v=X55m9eS5UFU) - Manipulate image tensors to perceive color blindness, live coding.
Books
📚 Books
- Deep Learning with JavaScript (https://www.manning.com/books/deep-learning-with-javascript) - 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.
- Deep Learning with JavaScript (https://www.manning.com/books/deep-learning-with-javascript) - 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.
- Hands-On Machine Learning with TensorFlow.js (https://www.amazon.com/Hands-Machine-Learning-TensorFlow-js-applications/dp/1838821732) - A guide to building ML applications integrated with web technology using the TensorFlow.js library
by Kai Sasaki.
- Hands-On Machine Learning with TensorFlow.js (https://www.amazon.com/Hands-Machine-Learning-TensorFlow-js-applications/dp/1838821732) - A guide to building ML applications integrated with web technology using the TensorFlow.js library by Kai 
Sasaki.
- Learning Tensorflow.js: Powerful Machine Learning in JavaScript (https://amzn.to/3dR3vpY) - In this guide, author Gant Laborde (https://github.com/gantman) provides a hands-on, end-to-end approach to TensorFlow.js fundamentals for a 
broad technical audience that includes data scientists, engineers, web developers, students, and researchers.
- Learning Tensorflow.js: Powerful Machine Learning in JavaScript (https://amzn.to/3dR3vpY) - In this guide, author Gant Laborde (https://github.com/gantman) provides a hands-on, end-to-end approach to TensorFlow.js fundamentals for a broad 
technical audience that includes data scientists, engineers, web developers, students, and researchers.
- Practical TensorFlow.js (https://www.apress.com/gp/book/9781484262726) - Deep Learning in Web App Development by Juan De Dios Santos Rivera.
- Practical Machine Learning in JavaScript (https://www.apress.com/gp/book/9781484264171) - TensorFlow.js for Web Developers by Charlie Gerard.
Blog & Posts
📰 Blog & Posts
- Official TensorFlow.js blog (https://blog.tensorflow.org/search?label=TensorFlow.js&max-results=20) - Covers building models in JavaScript and using them in the browser or in Node.js.
- Towards Data Science (https://towardsdatascience.com/search?q=tensorflow.js)
Powered by TensorFlow.js
🤩 Powered by TensorFlow.js
- Handwritten Digit Classification (https://github.com/aaronhma/ngconf-2020) - A showcase project for NgConf 2020 (https://www.ng-conf.org/) talk on A Journey into the World of Machine Learning with TensorFlow.js.
- NSFWJS - Indecent Content Checker (https://github.com/infinitered/nsfwjs) - A friendly library to check images to see if they are indecent content on either the client or the server!
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- BodyPix (https://storage.googleapis.com/tfjs-models/demos/body-pix/index.html) - A real-time person and body-part segmentation in the browser.
Tools
🔨 Tools
Libraries
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- TensorPlayground.com (https://www.tensorplayground.com/1.0.0/) - Write, modify, and view tensors directly in the browser. Then share the code with others.
Community
🎉 Community
Online Community
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- Jason Mayes (https://twitter.com/jason_mayes) - Developer advocate for TensorFlow.js.
- Gant Laborde (https://twitter.com/GantLaborde) - Web & Machine Learning GDE.
Contributions
💡 Contributions
Your contributions are always welcome!
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More info on the guidelines (CONTRIBUTING.md).
NOTE: In order to create an community that is welcome for all, ALL contributors MUST agree to the Code of Conduct (https://github.com/aaronhma/awesome-tensorflow-js/blob/master/CODE_OF_CONDUCT.md).
⭐ Star History
!Star History Chart (https://api.star-history.com/svg?repos=aaronhma/awesome-tensorflow-js&type=Date) (https://www.star-history.com/#aaronhma/awesome-tensorflow-js&Date)
tensorflowjs Github: https://github.com/aaronhma/awesome-tensorflow-js