tfjs
A WebGL accelerated JavaScript library for training and deploying ML models.
Build and run machine learning models directly in your web browser using JavaScript.
From the README
- TensorFlow.js CPU Backend, pure-JS backend for Node.js and the browser.
- TensorFlow.js WebGL Backend, WebGL backend for the browser.
- TensorFlow.js WASM Backend, WebAssembly backend for the browser.
- TensorFlow.js WebGPU, WebGPU backend for the browser.
- TensorFlow.js Node, Node.js platform via TensorFlow C++ adapter.
- TensorFlow.js React Native, React Native platform via expo-gl adapter.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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tfjs has 19.1k stars on GitHub. It has been forked 2k times. tfjs is written mainly in TypeScript. It has been in active development since 2018. tfjs is available under the Apache-2.0 license. Its main topics are deep-learning, deep-neural-network, gpu-acceleration, javascript.
What is tfjs?
A WebGL accelerated JavaScript library for training and deploying ML models.
Is tfjs open source?
tfjs is an open-source project. It is released under the Apache-2.0 license.
Is tfjs free?
Yes. tfjs is free and open source — you can use, modify and self-host it.
What license does tfjs use?
tfjs is available under the Apache-2.0 license.
What language is tfjs written in?
tfjs is written mainly in TypeScript.
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