Standard library machine learning algorithms.
JavaScript
2
0
Apache License 2.0
The stdlib-js/ml project is a JavaScript library that provides a collection of machine learning algorithms for numerical and scientific computing. It is designed for use in browsers and Node.js environments, and is part of the larger stdlib project, which aims to bring numerical computing to the web. The library is fully decomposable, allowing users to swap out and mix and match APIs and functionality to cater to their exact preferences and use cases, making it suitable for developers and researchers working on machine learning projects.
Total donated
Undistributed
Share with your subscribers:
Recipients
How the donated funds are distributed
Support the dependencies of stdlib-js/ml
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
Minimal TAP output formatter.
Support the repos that depend on stdlib-js/ml
Top contributors
stdlib-bot
84 contributions
Recent events
Kivach works on the Obyte network, and therefore you can track all donations.
No events yet