Machine Learning

Typescript port of the BYU CS 478 machine learning toolkit

machine learning typescript byu

0.0.5 • Published 8 years ago

multilayer perceptron which can be trained using the backpropagation algorithm

mlp perceptron multilayer perceptron neural neural network machine learning classification

1.1.0 • Published 9 years ago

Open Growth - An open source project for developers at API companies to delight your customers with ML/AI.

saas growth salesforce machine learning ml clearbit monkeylearn pubnub scaleapi twilio

0.0.1 • Published 9 years ago

**Parago** is a command line tool to help you rapidly create machine learning models by:

machine learning mobile AI tensorflow CoreML

1.0.0 • Published 6 years ago

NPM module for SAP Leonardo Machine Learning Foundation - Functional Services https://api.sap.com/package/SAPLeonardoMLFunctionalServices

sap leonardo machine learning ml image text classification segmentation ocr optical

0.6.0 • Published 7 years ago

Wrapper of the CRF++ library

crf crf++node-crfpp conditional random fields data science pattern recognition machine learning

1.0.1 • Published 5 years ago

Fast Neural Network library with with native CPU/GPU bindings and algorithm choice

neural network machine learning native

0.2.24 • Published 8 years ago

Support Vector Machine for nodejs

svm machine learning libsvm

2.1.10 • Published 7 years ago

RandoML is a library of random numbers with the option of excluding or increasing the priority of a number

TypeScript random number exclude library machine learning

1.0.0 • Published 4 years ago

Recomm.js is a javascript library used to build recommendation systems, using Content-Based Filtering System.

recommendation mongodb similar similarity machine learning ai

1.1.1 • Published 5 years ago

A modernized version of Andrej Karpathy's recurrent-js

rnn recurrent ai ml machine learning deep learning neural network artifical intelligence

0.0.2 • Published 8 years ago

the author don't update the npm , so i forked one;A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and use averaging to improve the predictive accuracy an

random forest machine learning classifier

1.0.0 • Published 8 years ago

Labeled wireless sensor network data set collected from a simple single-hop wireless sensor network deployment using TelosB motes as a UMD bundle.

stdlib datasets dataset data sample sensor network machine learning ml labeled

0.0.96 • Published 4 years ago

#### Description 自己手写的vue ui框架

email machine learning ai

1.0.2 • Published 5 years ago

clustering kmeans kmedians machine learning ml ai artificial intelligence unsupervised

0.0.1beta • Published 12 years ago

This is a fork of https://github.com/yandongliu/learningjs. Designed to update coding and patterns. Uses the C4.5 classifing algorithm

logistic regression decision tree machine learning classifier c4.5