node-neural-network
architecture-free neural network library
architecture-free neural network library
NodeRED Extension Pack for SparkML
a General purpose Monte Carlo Tree Search (gMCTS)
Encog is a NodeJs ES6 framework based on the Encog Machine Learning Framework by Jeff Heaton, plus some the of basic data manipulation helpers.
Fit multivariate data with a gaussian mixture model using the EM algorithm.
Node bindings for CatBoost library to apply models. CatBoost is a machine learning method based on gradient boosting over decision trees.
Client library for interacting with the DataRobot AI API.
A machine learning engine for quickly training image classification models in your browser
Artificial neural network for data prediction.
Deep Learning Classification, LSTM Time Series, Regression and Multi-Layered Perceptrons with Tensorflow
a wrapper for the Wikipedia API that provides data mining functionality.
JavaScript based EEG processing tool
Automated machine learning structure. Ensembles random forests, XGBoost, neural networks, AdaBoost, KNN, SVM together, handling data formatting ensembling, and running predictions for you. Feel free to tweak the settings if you want a lot of control, or j
Various machine learning algorithms simplified and applied
A set of components for AI in React
multilayer perceptron which can be trained using the backpropagation algorithm
MLA (machine learning algorithms): A collection of classfier and machine learning algorythms with a focus on text and speech.
A friendly machine learning library for the web.
A friendly machine learning library for the web.
Library implementing the double-q-learning algorithm.