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 tools, resources, videos and shiny things.
A collection of TensorFlow.js projects, tutorials, videos, and more.
Google's fast-paced, practical introduction to machine learning.
Google Developers Codelabs provide a guided, tutorial, hands-on coding experience.
Full online course for web devs to get into TF.js.
TensorFlow.js tutorials and best practices.
Pretrained models for TensorFlow.js.
Explore pre-trained TensorFlow.js models that can be used in any project out of the box.
Various pretrained models for TensorFlow.js on NPM.
Examples built with TensorFlow.js!
See examples and live demos built with TensorFlow.js!
This paper describes the design, API, and implementation of TensorFlow.js, and highlights some of the impactful use cases.
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.
The YouTube content focuses on TensorFlow ecosystem updates.
TensorFlow Dev Summit 2020.
Train Rock Paper Scissors on your machine and watch the results with your webcam!
Manipulate image tensors to perceive color blindness, live coding.
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.
A guide to building ML applications integrated with web technology using the TensorFlow.js library by Kai Sasaki.
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.
Deep Learning in Web App Development by Juan De Dios Santos Rivera.
TensorFlow.js for Web Developers by Charlie Gerard.
Covers building models in JavaScript and using them in the browser or in Node.js.
A showcase project for [NgConf 2020](https://www.ng-conf.org/) talk on **A Journey into the World of Machine Learning with TensorFlow.js**.
A friendly library to check images to see if they are indecent content on either the client or the server!
A tool to bring SVG characters to life in the browser via motion capture.
A web-based, playful, interactive experiences to lip sync to your favorite songs.
A real-time person and body-part segmentation in the browser.
A WebGL accelerated JavaScript library for training and deploying ML models.
Friendly machine learning for the web.
JavaScript API for face detection and face recognition in the browser and Node.js with tensorflow.js.
A library for prototyping realtime hand detection (bounding box), directly in the browser.
Music and Art Generation with Machine Intelligence in the Browser.
High-performance, intuitive, and easy-to-use data structures for manipulating and processing structured data. (Inspired by Pandas)
Build fast, full-stack web apps in browser for free (Tensorflow.js templates).
*bit.ly/codepen-tfjs* Best place to build, test and discover front-end code (Tensorflow.js templates).
Tinker With a Neural Network Right Here in Your Browser!
A curated collection of inspirational AI-powered JavaScript apps.
Train a computer to recognize your own images, sounds, & poses!
Write, modify, and view tensors directly in the browser. Then share the code with others.
See what the community has made and share your work!
Lead of AI Developer Relations at Google.
Co-lead of TensorFlow.js.
Co-creator of TensorFlow.js.
Building
World's youngest TensorFlow contributor!
Product Manager for TensorFlow.
Developer advocate for TensorFlow.js.
Web & Machine Learning GDE.
Google AI for everyone, and for every platform.