machinelearnjs

Machine Learning library

A lightweight Machine Learning library for JavaScript and Node.js providing easy-to-use APIs for various algorithms.

Machine Learning library for the web and Node.

GitHub

541 stars
15 watching
53 forks
Language: TypeScript
last commit: almost 4 years ago
Linked from 2 awesome lists

data-preprocessingeasy-to-usefeature-extractionmachine-learningminimalisticnodeprobabilistic-modelsrandom-foreststatistical-learningstructured-datasvmweb

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
benhamner/machinelearning.jlA Julia library providing a consistent API for common machine learning algorithms116
jsmlt/jsmltA JavaScript library implementing well-known machine learning algorithms in an understandable and modular way for education and research.25
maciejkula/rustlearnA Rust machine learning crate providing algorithms and utilities for building and training machine learning models.626
yining1023/machine-learning-for-the-webAn interactive machine learning project that teaches common high-level techniques and applies them to generate creative outputs in the browser.406
stevenmiller888/mindA neural network library for building and training neural networks in JavaScript1,511
ryuk17/machinelearningThis is a collection of machine learning algorithms implemented in Python 3.6.103
jeff1evesque/machine-learningA web-based platform for machine learning algorithms and data visualization using JavaScript, providing both a graphical interface and an API.258
mljs/feedforward-neural-networksAn implementation of feedforward neural networks in JavaScript based on the wildml library29
cloudkj/lambda-mlA machine learning library written in Lisp (Clojure) providing simple implementations of various algorithms and utilities.76
magenta/magenta-jsA collection of TypeScript libraries for running inference with pre-trained machine learning models in the browser.2,014
codingtrain/machine-learningA collection of resources and examples around machine learning for education and development954
yandongliu/learningjsA JavaScript implementation of machine learning algorithms, including logistic regression and decision tree models.65
cstjean/scikitlearn.jlA Julia implementation of popular machine learning algorithms and interfaces.547
monkeylearn/monkeylearn-rubyProvides an official Ruby client for the MonkeyLearn API to build and consume machine learning models for language processing from Ruby apps.80
kei500/liblinear-rubyProvides an interface to train and predict with machine learning models using LIBLINEAR83