This project is a high-performance linear algebra library designed for both Node.js and web browsers. It provides efficient matrix and vector operations optimized for machine learning applications, featuring a simple chainable API and comprehensive test coverage. The library is particularly useful for developers building ML algorithms who need fast numerical computations without the overhead of larger frameworks.
Total donated
Undistributed
Share with your subscribers:
Recipients
How the donated funds are distributed
Support the dependencies of hiddentao/linear-algebra
Expect files in pipes for gulp.js
JSHint plugin for gulp
Run a series of dependent gulp tasks in order
BDD/TDD assertion library for node.js and the browser. Test framework agnostic.
JavaScript test spies, stubs and mocks.
Extends Chai with assertions for the Sinon.JS mocking framework.
A cross-browser, numerically stable algorithm to add floats accurately
Run performance benchmark tests
A string replace plugin for gulp
Unfancy JavaScript
A performance-oriented, fully tested Linear Algebra library
Support the repos that depend on this repository
Top contributors
Recent events
Kivach works on the Obyte network, and therefore you can track all donations.
No events yet