webpack-ml
Webpack plugins for the Machine Learning-driven bundler
Webpack plugins for the Machine Learning-driven bundler
An implementation of the MNIST neural network for use in backend ML systems.
Clusterizes bundles based on an aggregated data
Popular algorithms of machine learning are made available
jskit-plot is a javascript module for quickly plotting data with highcharts. When jskit-plot used with ML.js, and jskit-learn, you're left with the equialent R/Python toolset in JavaScript.
Pattern detection using Local Binary Patterns algorithm
Feature hashing, also known as the hashing trick, a fast and space-efficient way of vectorizing features.
A thin wrapper around Heat's human-intelligence api
Javascript neural network libary
Model-Agnostic Visual Debugging Tool for Machine Learning
A Javascript implementation of the "k-Nearest-Neighbor" machine-learning algorithm
This library allows you to create your own simple Monte Carlo Tree Search AI
Node.js community, discourse, and author analysis package
Deep learning library for Node.js. (includes MLP, RBM, DBN, CRBM, CDBN)
This is an experimental plugin for [Appium](https://appium.io) that enables test automation of mobile apps using [Test.ai](https://test.ai)'s machine-learning element type classifier. It allows you to find Appium elements using a semantic label (like "car
Backend for Tensorflow.js that just computes tensor shapes and dtypes
modelscript is a javascript module with simple and efficient tools for data mining and data analysis in JavaScript. When modelscript used with ML.js, pandas-js, and numjs, you're left with the equialent R/Python toolset in JavaScript.
Markov chains generate senseless text for the fun of it.
Core code for the phishing detection software.