Machine Learning

streams-moa

org.jwall : streams-moa

This artifact includes the MOA learning toolbox into the streams Library

Последняя версия: 0.0.4

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samoa-s4

org.apache.samoa : samoa-s4

S4 bindings for SAMOA

Последняя версия: 0.3.0-incubating

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Demonstration Application

net.officefloor.tutorial : DemoApp

Application providing examples of the features available with WoOF

Последняя версия: 2.16.0

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samoa-threads

com.yahoo.labs.samoa : samoa-threads

Multithreading local engine for SAMOA

Последняя версия: 0.2.0

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Последняя версия: 0.2.0

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jsonfeed4j

com.moandjiezana.jsonfeed : jsonfeed4j

Read and write JSON Feed, as defined at https://jsonfeed.org

Последняя версия: 0.1.0

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Последняя версия: 0.2.0

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Последняя версия: 0.1.0

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MOA: WEKA Package

nz.ac.waikato.cms.moa : weka-package

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. This artifact enables you to use MOA from within WEKA.

Последняя версия: 2021.07.0

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chain3j

io.github.moacchain : chain3j

chain3j is a lightweight, highly modular, reactive, type safe Java and Android library for working with Smart Contracts and integrating with clients (nodes) on the MOAC network.

Последняя версия: 0.1.0

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Moab SDK Gradle Plugins

com.adaptc.gradle : moab-sdk

Gradle plugins comprising a plugin SDK for Moab.

Последняя версия: 0.13

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Последняя версия: 0.0.1

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jamon-bootstrap

com.moandjiezana.jamon : jamon-bootstrap

Bootstrap-aware helpers for the Jamon templating engine.

Последняя версия: 0.1.0

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samoa-local

org.apache.samoa : samoa-local

Simple local engine for SAMOA

Последняя версия: 0.5.0-incubating

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Последняя версия: 0.1.0

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SurveyorSimpleDemoApp

org.wwarn.mapssurveyor : SurveyorSimpleDemoApp

A demonstrator for the surveyor framework

Последняя версия: 1.4.4

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Apache SAMOA

org.apache.samoa : samoa

Apache SAMOA (incubating) is a platform for mining big data streams.

Последняя версия: 0.5.0-incubating

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graphs-truth

com.github.moaxcp.graphs : graphs-truth

Truth extensions for test assertions.

Последняя версия: 0.14.0

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MOA: meta-package

nz.ac.waikato.cms.moa : moa-pom

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems.

Последняя версия: 2021.07.0

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graph-dsl

com.github.moaxcp : graph-dsl

A groovy dsl for creating and traversing graphs.

Последняя версия: 0.27.0

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SAMOA

com.yahoo.labs.samoa : samoa

Scalable Advanced Massive Online Analysis

Последняя версия: 0.2.0

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Последняя версия: 0.1.0

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samoa-threads

org.apache.samoa : samoa-threads

Multithreading local engine for SAMOA

Последняя версия: 0.5.0-incubating

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moaview-ep

com.moaview : moaview-ep

java common class

Последняя версия: 0.0.5

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apicross-demoapp-codegenext

io.github.itroadlabs : apicross-demoapp-codegenext

Toolkit to build SDK from OpenAPI v.3 specification

Последняя версия: 1.1.0

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graphs

com.github.moaxcp : graphs

dynamic graphs supporting streams and an EventBus

Последняя версия: 0.3.0

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Entity Scraper

io.github.jamoamo : entityscraper

Web Scraper using Java annotations

Последняя версия: 0.1

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AndroidPlot-DemoApp

com.androidplot : androidplot-demoapp

A charting library for the Android platform

Последняя версия: 0.6.1

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samoa-flink

org.apache.samoa : samoa-flink

Flink engine for SAMOA

Последняя версия: 0.5.0-incubating

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Последняя версия: 1.0.3

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OpenmlMOA

org.openml : openmlmoa

MOA package for OpenML integration.

Последняя версия: 0.9.1

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x11-client

com.github.moaxcp.x11 : x11-client

An x11 client implemented in java

Последняя версия: 0.11.0

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apicross-demoapp

io.github.itroadlabs : apicross-demoapp

Toolkit to build SDK from OpenAPI v.3 specification

Последняя версия: 1.1.0

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MOA: Add-ons for Kafka

nz.ac.waikato.cms.moa : moa-kafka

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. This artifact enables you to stream data to MOA from Kafka.

Последняя версия: 2021.07.0

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Gradle Advanced Build Version Plugin

org.moallemi.gradle.advanced-build-version : gradle-plugin

A plugin to generate the Android version code and version name automatically.

Последняя версия: 1.6.0

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samoa-local

com.yahoo.labs.samoa : samoa-local

Simple local engine for SAMOA

Последняя версия: 0.2.0

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Edwards

io.moatwel.crypto : eddsa

Edwards is a crypto library for Edwards-curve Digital Signature Algorithm (EdDSA) written in pure Java.

Последняя версия: 0.8.1

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jfpl

io.github.jamoamo : jfpl

A lightweight unofficial Java wrapper for FPL (fantasy.premierleague.com)

Последняя версия: 0.3

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gradle-advanced-build-version

me.moallemi.gradle : advanced-build-version

Generate Android version code and version name automatically from git tags, date,... .

Последняя версия: 2.0.0

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streams-moa

de.sfb876 : streams-moa

This artifact includes the MOA learning toolbox into the streams Library

Последняя версия: 0.1.2

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Datumbox Framework Storage

com.datumbox : datumbox-framework-storage

Datumbox is an open-source Machine Learning Framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

Последняя версия: 0.8.2

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Datumbox Framework Tests

com.datumbox : datumbox-framework-tests

Datumbox is an open-source Machine Learning Framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

Последняя версия: 0.8.2

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Datumbox Machine Learning Framework

com.datumbox : datumbox-framework

Datumbox is an open-source Machine Learning Framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

Последняя версия: 0.8.2

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Datumbox Framework Lib

com.datumbox : datumbox-framework-lib

Datumbox is an open-source Machine Learning Framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

Последняя версия: 0.8.2

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Последняя версия: 0.4.0

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Последняя версия: 0.0.3.2.7

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DeepLearning4j Examples

org.deeplearning4j : deeplearning4j-examples

Examples of training different data sets

Последняя версия: 0.0.3.1

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rl4j-ale

org.deeplearning4j : rl4j-ale

Deep Reinforcement Learning for the JVM

Последняя версия: 1.0.0-M1.1

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Последняя версия: 0.9.1

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