Awesome Machine Learning Libraries

An incomplete list of Machine Learning frameworks or libraries written in JavaScript. All should run in browser context.

Traditional Machine Learning Algorithms

Name	Description	License
ml.js	A compilation of Machine Learning tools in JavaScript	MIT
machine_learning	Implementations of multiple machine learning algorithms such as decision-tree	MIT

Deep Neural Networks (DNNs)

Name	Description	License
webdnn	DNN Running Framework that can be built with WebGPU, WebGL, or WebAssembly	MIT
synaptic.js	Generic neural network framework	MIT
deeplearning.js	Hardware-accelerated deep learning // machine learning // NumPy library for the web	Apache License V2
kera.js	Run Keras models in the browser, with GPU support using WebGL	MIT
TensorFire	Framework for running neural networks in the browser, accelerated by WebGL.	To be open sourced
neurojs	deep learning framework focused on reinforcement learning
deepforge	open-source visual development environment for deep learning
neataptic	Blazing fast neuro-evolution & backpropagation for the browser	MIT
Feedforward Neural Networks	An implementation of feedforward neural networks based on wildml implementation	MIT
Kohonen Networks	An implementation of Kohonen Networks / self-organizing map (SOM)	MIT
ConvNetJS	[UNMAINTAINED] Cmmon neural network modules, including Convolutional Neural Network	MIT
Simple Feedforward Neural Networks	[UNMAINTAINED] Simple feed-forward neural network	MIT

Mathmatics Computation

Name	Description	License
gpu.js	Perform GPU-accelerated matrix computation with graceful fallback to JS	MIT
ml-matrix	Matrix manipulation and computation library created by mljs	MIT
math.js	Extensive math library compatible with the JS built-in math library	Apache License V2
weblas	GPU Powered BLAS for Browsers	MIT
web-dsp	A client-side signal processing library built on WebAssembly	MIT