DN2A - Digital Neural Networks Architecture.

Auto ML - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file!

ConvNetJS: Deep Learning in your browser

clusterfck - JavaScript hierarchical clustering

Clustering.js - Clustering algorithms implemented in Javascript for Node.js and the browser.

Decision Trees - NodeJS Implementation of Decision Tree using ID3 Algorithm.

Google Code Archive - Long-term storage for Google Code Project Hosting.

Gaussian Mixture Model - Unsupervised machine learning with multivariate Gaussian mixture model.

Node-fann - FANN (Fast Artificial Neural Network Library) bindings for Node.js

Keras.js - Run Keras models in the browser, with GPU support provided by WebGL 2.

Kmeans.js - Simple Javascript implementation of the k-means algorithm, for node.js and the browser.

LDA.js - LDA topic modeling for Node.js

Learning.js - Javascript implementation of logistic regression/c4.5 decision tree

machinelearn.js - Machine Learning library for the web, Node.js and developers

mil-tokyo - List of several machine learning libraries.

Node-SVM - Support Vector Machine for Node.js

Brain - Neural networks in JavaScript

Brain.js - Neural networks in JavaScript - continued community fork of

Bayesian-Bandit - Bayesian bandit implementation for Node and the browser.

Synaptic - Architecture-free neural network library for Node.js and the browser.

kNear - JavaScript implementation of the k nearest neighbors algorithm for supervised learning.

NeuralN - C++ Neural Network library for Node.js. It has advantage on large dataset and multi-threaded training.

kalman - Kalman filter for Javascript.

shaman - Node.js library with support for both simple and multiple linear regression.

ml.js - Machine learning and numerical analysis tools for Node.js and the Browser!

ml5 - Friendly machine learning for the web!

Pavlov.js - Reinforcement learning using Markov Decision Processes.

MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.

TensorFlow.js | Machine Learning for JavaScript Developers

Train and deploy models in the browser node js or google cloud platform tensor flow js is an open source ml platform for javascript and web development

JSMLT - Machine learning toolkit with classification and clustering for Node.js; supports visualization (see

xgboost-node - Run XGBoost model and make predictions in Node.js.

Netron - Visualizer for machine learning models.

tensor-js - A deep learning library for the browser, accelerated by WebGL and WebAssembly

WebDNN - Fast Deep Neural Network Javascript Framework. WebDNN uses next generation JavaScript API, WebGPU for GPU execution, and WebAssembly for CPU execution.