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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
(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
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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.
- 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.
Videos
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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.
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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.
- 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!
- Pose Animator (https://pose-animator-demo.firebaseapp.com/camera.html) - A tool to bring SVG characters to life in the browser via motion capture.
- LipSync (https://lipsync.withyoutube.com/) - A web-based, playful, interactive experiences to lip sync to your favorite songs.
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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).
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).