Showing 4 open source projects for "number prediction algorithm"

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    LibRec

    LibRec

    Leading Java Library for Recommender Systems

    LibRec is a Java library for recommender systems (Java version 1.7 or higher required). It implements a suit of state-of-the-art recommendation algorithms, aiming to resolve two classic recommendation tasks: rating prediction and item ranking.
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    Neural Libs

    Neural Libs

    Neural network library for developers

    This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
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  • 3

    NextBus Public Feed Adapter for Java

    A Java adapter for the NextBus Public XML Feed Service

    Restful Web Service adapter for the NextBus prediction and transit network reporting service. This implementation uses XSD Schema, JAXB and a domain object model to decouple the consuming application from the over-the-wire representation of the data. NextBus is currently providing real-time bus data in several major metro transit agencies including, but not limited to MBTA (Boston), Toronto, Seattle, Brooklyn, Staten Island as well as a number of University towns.
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  • 4

    Java Random Numbers - Random.Org API

    Offers Random numbers API for your programs written in Java.

    Very lightweight and easy to use library that allows you to generate truly random numbers by means of Random.Org service. Library offers optimized algorithms for obtaining single random number or more random numbers at once, sequences of numbers, random strings etc. Also allows you to check quota. It provides algorithm to generate unspecified number of random numbers of certain total value. This algorithm still keeps server load low by sending as large requests as possible, yet all integers are truly random. ******************************************* Current version 1.5 is considered as STABLE version. ...
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