datakit by NathanEpstein
A lightweight framework for data analysis in JavaScript.
created at March 2, 2015, 11:05 p.m.
machine-learning by jeff1evesque
Web-interface + rest API for classification and regression (https://jeff1evesque.github.io/machine-learning.docs)
created at Aug. 13, 2014, 4:50 p.m.
nodejs-decision-tree by serendipious
NodeJS Implementation of Decision Tree using ID3 Algorithm
created at April 28, 2013, 11:11 a.m.
zzarchive-Vulpes by fsprojects-archive
Vulpes: a Deep Belief Net written in F#, and using Alea.cuBase to access the GPU.
created at Jan. 15, 2014, 9:57 p.m.
Z3d by NathanEpstein
Interactive 3D plotting with a simple function call using Three.js
created at Nov. 26, 2014, 10:21 p.m.
learningjs by yandongliu
javascript implementation of logistic regression/c4.5 decision tree
created at April 8, 2014, 1:50 a.m.
KNear by NathanEpstein
K-nearest neighbors algorithm for supervised learning implemented in javascript
created at Nov. 19, 2014, 6:50 p.m.
bayesian-bandit.js by omphalos
Bayesian bandit implementation for Node and the browser.
created at Aug. 12, 2013, 12:12 p.m.
clustering.js by emilbayes
Clustering algorithms implemented in Javascript for Node.js and the browser
created at June 30, 2013, 2:43 p.m.
gaussian-mixture-model by lukapopijac
Unsupervised machine learning with multivariate Gaussian mixture model which supports both offline data and real-time data stream.
created at April 16, 2017, 12:03 a.m.
JavaScript Machine Learning Toolkit