propel

For anyone interested, here is a sampling of available ML libs in JavaScript. The first two, including tensorflow.js, are sub-libraries of the major ML projects, and the others are custom JS libs: [tensorflow.js](https://github.com/tensorflow/tfjs) [mxnet.js](https://github.com/dmlc/mxnet.js/) [propel.js](https://github.com/propelml/propel) - this uses tensorflow.js under the hood [ml5](https://github.com/ml5js/ml5-library) - also uses tensorflow.js [webdnn](https://github.com/mil-tokyo/webdnn) [brain.js](https://github.com/BrainJS/brain.js) [mljs](https://github.com/mljs/ml) [synaptic](https://github.com/cazala/synaptic) edit: added the ml5 lib mentioned in a subsequent comment.

This is really cool. I was wondering what the difference between this and deeplearnjs[0] were, and turns out it's the same thing. Between this, and propelml[1] (from the creator of node.js), it seems like ML in the JS ecosystem is starting to pick up. It'd be cool to see more demos like the ones on the https://tenso.rs/ website. Seems like they were using their own hand rolled library though. [0]: https://deeplearnjs.org/ [1]: https://github.com/propelml/propel

What you want to check out is Propel ML. Creator is Ryan Dahl (ry) who invented Node.js. - http://propelml.org/ - https://github.com/propelml/propel "Propel runs both in the browser and natively from Node. In both environments Propel is able to use GPU hardware for computations. In the browser it utilizes WebGL through deeplearn.js and on Node it uses TensorFlow's C API."

Ry disagrees: https://github.com/propelml/propel This is basically Tensorflow enabled to run in browser and server environments. And it does have GPGPU support via Tensorflow bindings and WebGL. Yes, really.