TensorFlow.js is a library for machine learning in JavaScript
Develop ML models in JavaScript, and use ML directly in the browser or in Node.js.
How it works
Run existing models
Use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js.
Retrain existing models
Retrain pre-existing ML models using your own data.
Develop ML with JavaScript
Build and train models directly in JavaScript using flexible and intuitive APIs.
Demos
We are happy to announce a new TensorFlow.js to drive community ownership of TensorFlow.js projects. We encourage any developers working at the intersection of machine learning and web/JS applications to join and participate in the activities of the SIG.
The TensorFlow.js community showcase is back! See eight exciting new demos pushing the boundaries of on-device machine learning in JavaScript. Share your work with #MadewithTFJS for a chance to be featured at the next Show & Tell.
Announcing a major update to the TensorFlow.js WebAssembly backend: version 2.3.0 adds SIMD and multi-threading support enabling up to a 10x performance boost.
Danfo.js is an open-source, JavaScript library that provides high-performance, intuitive, and easy-to-use data structures for manipulating and processing structured data. Danfo.js is heavily inspired by the Python Pandas library and provides a similar interface/API.
