GitHub projects

Library for calculating great circle distance.

Linear Regression library. [Deprecated]

A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.

A JavaScript implementation of descriptive, regression, and inference statistics. Implemented in literate JavaScript with no dependencies, designed to work in all modern browsers (including IE) as well as in Node.js.

Vector and Matrix math for JavaScript. [Deprecated]

A standard library for JavaScript and Node.js, with an emphasis on numeric computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.

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

A deep learning library for the browser, accelerated by WebGL and WebAssembly.

Run XGBoost model and make predictions in Node.js.

Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).

Reinforcement learning using Markov Decision Processes.

Friendly machine learning for the web!

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

Node.js library with support for both simple and multiple linear regression. [Deprecated]

Kalman filter for JavaScript. [Deprecated]

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

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

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

Bayesian bandit implementation for Node and the browser. [Deprecated]

Neural networks in JavaScript - continued community fork of Brain.

Neural networks in JavaScript [Deprecated]

Support Vector Machine for Node.js

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

JavaScript implementation of logistic regression/c4.5 decision tree [Deprecated]

LDA topic modelling for Node.js

Simple JavaScript implementation of the k-means algorithm, for node.js and the browser. [Deprecated]

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

FANN (Fast Artificial Neural Network Library) bindings for Node.js [Deprecated]

Unsupervised machine learning with multivariate Gaussian mixture model.

Digital Neural Networks Architecture. [Deprecated]

NodeJS Implementation of Decision Tree using ID3 Algorithm. [Deprecated]

Clustering algorithms implemented in JavaScript for Node.js and the browser. [Deprecated]

Model Context Protocol server that exposes Creatify AI's video generation capabilities to AI assistants, enabling natural language video creation workflows.

Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.

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

Easily make interactive 3d plots built on Three.js [Deprecated]

Scientific and statistical computing in JavaScript. [Deprecated]

A lightweight framework for data analysis in JavaScript

Statistics kit for JavaScript. [Deprecated]

An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.

Natural Language processing in the browser.

Extensible system for analyzing and manipulating natural language.

A Natural Language Processor in JS.

General natural language facilities for node.

A JavaScript implementation of Twitter's text processing library.

Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning, designed to be easy to get started with and simple to use for Java developers.

Scalable deep learning for industry with parallel GPUs.