ml.js

Machine learning tools in JavaScript
GitHub
2.63k
Created 10 years ago, last commit 2 months ago
14 contributors
357 commits
Stars added on GitHub, month by month
12
1
2
3
4
5
6
7
8
9
10
11
2023
2024
Stars added on GitHub, per day, on average
Yesterday
=
Last week
0.0
/day
Last month
+0.1
/day
Last 12 months
+0.6
/day
README

ml.js - Machine learning tools in JavaScript

Introduction

This library is a compilation of the tools developed in the mljs organization.
It is mainly maintained for use in the browser. If you are working with Node.js, you might prefer to add to your dependencies only the libraries that you need, as they are usually published to npm more often.
We prefix all our npm package names with ml- (eg. ml-matrix) so they are easy to find.

To include the ml.js library in a web page:

<script src="https://www.lactame.com/lib/ml/6.0.0/ml.min.js"></script>

It will be available as the global ML variable. The package is in UMD format.

List of included libraries

Unsupervised learning

Supervised learning

Artificial neural networks (ANN)

  • Feedforward Neural Networks: ML.FNN
  • Self-organizing map / Kohonen networks: ML.SOM

Regression

Optimization

Math

Functions dealing with an object containing 2 properties x and y, both arrays.

Example:

let result = ML.ArrayXY.sortX({ x: [2, 3, 1], y: [4, 6, 2] });
// result = {x: [1,2,3], y: [2,4,6]}

Statistics

Data processing

Utility

License

MIT