Download JAR files tagged by learning with all dependencies

moa-pom from group nz.ac.waikato.cms.moa (version 2023.04.0)

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.

Group: nz.ac.waikato.cms.moa Artifact: moa-pom
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Artifact moa-pom
Group nz.ac.waikato.cms.moa
Version 2023.04.0
Last update 03. April 2023
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3.0
Dependencies amount 0
Dependencies No dependencies
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tiny-weka from group nz.ac.waikato.cms.weka (version 3.9.15955)

The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This artifact represents the bare API of the developer version, with no package manager, PMML, XML or user interface. It is aimed at commercial applications that license some of WEKA's algorithms.

Group: nz.ac.waikato.cms.weka Artifact: tiny-weka
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Artifact tiny-weka
Group nz.ac.waikato.cms.weka
Version 3.9.15955
Last update 03. March 2022
Organization University of Waikato, Hamilton, NZ
URL http://www.cs.waikato.ac.nz/ml/weka/
License MIT
Dependencies amount 1
Dependencies java-cup-runtime,
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azure-resourcemanager-machinelearningservices from group com.azure.resourcemanager (version 1.0.0-beta.1)

This package contains Microsoft Azure SDK for MachineLearningServices Management SDK. For documentation on how to use this package, please see https://aka.ms/azsdk/java/mgmt. These APIs allow end users to operate on Azure Machine Learning Workspace resources. Package tag package-2021-04-01.

Group: com.azure.resourcemanager Artifact: azure-resourcemanager-machinelearningservices
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Artifact azure-resourcemanager-machinelearningservices
Group com.azure.resourcemanager
Version 1.0.0-beta.1
Last update 16. April 2021
Organization not specified
URL https://github.com/Azure/azure-sdk-for-java
License The MIT License (MIT)
Dependencies amount 2
Dependencies azure-core, azure-core-management,
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oryx from group com.cloudera.oryx (version 2.8.0)

The Oryx open source project provides infrastructure for lambda-architecture applications on top of Spark, Spark Streaming and Kafka. On this, it provides further support for real-time, large scale machine learning, and end-to-end applications of this support for common machine learning use cases, like recommendations, clustering, classification and regression.

Group: com.cloudera.oryx Artifact: oryx
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Artifact oryx
Group com.cloudera.oryx
Version 2.8.0
Last update 25. November 2018
Organization not specified
URL http://oryx.io/
License The Apache Software License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
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vw-wrapper from group com.indeed (version 5.1.6)

Vowpal wabbit is a very effective machine learning library (https://github.com/JohnLangford/vowpal_wabbit/wiki). It implements several state of art algorithms in a very efficient way. This java library provides a JNI OOP interface to vowpal wabbit. It depends only on log4j and guava. You don't need vowpal wabbit to be installed if you use this wrapper.

Group: com.indeed Artifact: vw-wrapper
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Artifact vw-wrapper
Group com.indeed
Version 5.1.6
Last update 11. September 2018
Organization not specified
URL http://github.com/indeedeng
License The Apache Software License, Version 2.0
Dependencies amount 2
Dependencies guava, log4j,
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dualPerturbAndCombine from group nz.ac.waikato.cms.weka (version 1.0.0)

Class for building and using classification and regression trees based on the closed-form dual perturb and combine algorithm described in Pierre Geurts, Lous Wehenkel: Closed-form dual perturb and combine for tree-based models. In: Proceedings of the 22nd International Conference on Machine Learning, 233-240, 2005.

Group: nz.ac.waikato.cms.weka Artifact: dualPerturbAndCombine
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Artifact dualPerturbAndCombine
Group nz.ac.waikato.cms.weka
Version 1.0.0
Last update 03. August 2018
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/dualPerturbAndCombine
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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java-ai-minefield-navigator from group com.github.cschen1205 (version 1.0.2)

TD-FALCON is a fusion architecture that incorporates temporal difference methods and self-organizing neural networks for reinforcement learning with delayed rewards. It learns by creating cognitive codes across sensory input, actions, and rewards.

Group: com.github.cschen1205 Artifact: java-ai-minefield-navigator
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Artifact java-ai-minefield-navigator
Group com.github.cschen1205
Version 1.0.2
Last update 18. June 2017
Organization not specified
URL https://github.com/cschen1205/java-ai-minefield-navigator
License MIT
Dependencies amount 5
Dependencies slf4j-api, slf4j-log4j12, java-ann-falcon, fastjson, commons-cli,
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multiInstanceLearning from group nz.ac.waikato.cms.weka (version 1.0.9)

A collection of multi-instance learning classifiers. Includes the Citation KNN method, several variants of the diverse density method, support vector machines for multi-instance learning, simple wrappers for applying standard propositional learners to multi-instance data, decision tree and rule learners, and some other methods.

Group: nz.ac.waikato.cms.weka Artifact: multiInstanceLearning
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Artifact multiInstanceLearning
Group nz.ac.waikato.cms.weka
Version 1.0.9
Last update 21. February 2017
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/multiInstanceLearning
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, multiInstanceFilters,
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industrialbenchmark from group com.siemens.oss.industrialbenchmark (version 1.1.1)

A novel reinforcement learning benchmark, called Industrial Benchmark, is introduced. The Industrial Benchmark aims at being be realistic in the sense, that it includes a variety of aspects that we found to be vital in industrial applications. It is not designed to be an approximation of any real system, but to pose the same hardness and complexity.

Group: com.siemens.oss.industrialbenchmark Artifact: industrialbenchmark
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Artifact industrialbenchmark
Group com.siemens.oss.industrialbenchmark
Version 1.1.1
Last update 11. November 2016
Organization not specified
URL http://github.com/siemens/industrialbenchmark
License Apache License, Version 2.0
Dependencies amount 10
Dependencies slf4j-log4j12, slf4j-api, commons-collections, commons-io, jchart2d, guava, junit, jcommander, commons-lang3, commons-math3,
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easyjasub-distribution from group com.github.riccardove.easyjasub (version 0.6.2)

Group: com.github.riccardove.easyjasub Artifact: easyjasub-distribution
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Artifact easyjasub-distribution
Group com.github.riccardove.easyjasub
Version 0.6.2
Last update 05. January 2015
Organization not specified
URL http://easyjasub.sourceforge.net
License not specified
Dependencies amount 1
Dependencies easyjasub-cmd,
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