Machine Learning

idylnlp-dl4j

ai.idylnlp : idylnlp-dl4j

Idyl NLP for DeepLearning4j

Последняя версия: 1.1.0

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Последняя версия: 1.0.0-M2

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pydl4j

org.deeplearning4j : pydl4j

Deeplearning4j Monorepo

Последняя версия: 1.0.0-beta7

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EAP Base Module javax.wsdl4j.api:main

org.kie.modules : javax-wsdl4j-api-main

The parent with dependencies imports the KIE Platform BOM and adds the default test-scoped dependencies. All modules extend this parent, except for the user-facing BOMs (which are used here).

Последняя версия: 6.5.0.Final

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Последняя версия: 1.0.0-beta_spark_1

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dl4jgrapher

com.drissoft : dl4jgrapher_2.13

Generates Graphviz DOT files from DL4J MultiLayerNetworks and ComputationGraphs

Последняя версия: 0.1.0

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Последняя версия: 1.0.0-beta7

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Последняя версия: 1.0.0-beta_spark_1

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ceddl4j

nl.mirabeau : ceddl4j

Ceddl4j is a Java API for generating a website data layer compliant with the CEDDL specification.

Последняя версия: 1.0.0

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Последняя версия: 1.0.0-beta_spark_2

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Последняя версия: 1.0.0-beta_spark_1

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Последняя версия: 1.0.0-beta_spark_1

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dl4j-perf

org.deeplearning4j : dl4j-perf

DeepLearning for java

Последняя версия: 1.0.0-beta6

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incal-dl4j

org.in-cal : incal-dl4j_2.11

Convenient wrapper of Deeplearning4J library especially for temporal classification.

Последняя версия: 0.3.0

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WSDL4J

org.lucee : wsdl4j

OSGi Version of WSDL4J

Последняя версия: 1.5.1

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dl4jgrapher

com.drissoft : dl4jgrapher_2.12

Generates Graphviz DOT files from DL4J MultiLayerNetworks and ComputationGraphs

Последняя версия: 0.1.0

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Последняя версия: 0.5.0

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Последняя версия: 0.4-rc3.8

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graphite-dl4j

net.savantly.learning : graphite-dl4j

Perform machine algorithms on graphite query results

Последняя версия: 1.0.0-RELEASE

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Последняя версия: 0.4.0

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Последняя версия: 1.0.0-beta_spark_2

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Последняя версия: 1.6.3.wso2v3

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Последняя версия: 1.1.0

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Последняя версия: 1.0.0-M1.1

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Последняя версия: 1.0.0-beta7

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Последняя версия: 0.4-rc3.9

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Последняя версия: 1.0.0-M1.1

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Последняя версия: 1.5.2

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ds4s-cdl4j

ai.minxiao : ds4s-cdl4j_2.11

Data Science for Scala: scala wrapper for dl4j.

Последняя версия: 0.1.2

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ELKI - Tutorial Algorithms

de.lmu.ifi.dbs.elki : elki-tutorial

ELKI - Tutorial Algorithms – Open-Source Data-Mining Framework with Index Acceleration

Последняя версия: 0.7.5

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ExcelKit

org.wuwz : ExcelKit

Excel导入导出工具(简单、好用且轻量级的海量Excel文件导入导出解决方案.)

Последняя версия: 2.0.2.1

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ELKI - Unit Test Core

de.lmu.ifi.dbs.elki : elki-test-core

ELKI - Unit Test Core – Open-Source Data-Mining Framework with Index Acceleration

Последняя версия: 0.7.5

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Последняя версия: 0.0.2

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com.nelkinda.japi:nelkinda-japi-parent

com.nelkinda.japi : nelkinda-japi-parent

Parent POM for building the entire JAPI repository.

Последняя версия: 0.0.2

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BsonMapper

me.welkinbai : BsonMapper

a light wrapper for mongo-java-driver Bson to convert POJO to Bson or in reverse

Последняя версия: 0.0.2

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Последняя версия: 0.0.2

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ExcelKit

com.wuwenze : ExcelKit

Excel导入导出工具(简单、好用且轻量级的海量Excel文件导入导出解决方案.)

Последняя версия: 2.0.72

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ELKI Data Mining Framework - Parent Project

de.lmu.ifi.dbs.elki : elki-project

ELKI is an open source (AGPLv3) data mining software written in Java. The focus of ELKI is research in algorithms, with an emphasis on unsupervised methods in cluster analysis and outlier detection. In order to achieve high performance and scalability, ELKI offers many data index structures such as the R*-tree that can provide major performance gains. ELKI is designed to be easy to extend for researchers and students in this domain, and welcomes contributions in particular of new methods. ELKI aims at providing a large collection of highly parameterizable algorithms, in order to allow easy and fair evaluation and benchmarking of algorithms.

Последняя версия: 0.7.1

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Последняя версия: 0.0.2

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ELKI - 3D Parallel Coordinate Trees Visualization

de.lmu.ifi.dbs.elki : elki-3dpc

ELKI - 3D Parallel Coordinate Trees Visualization – Open-Source Data-Mining Framework with Index Acceleration

Последняя версия: 0.7.5

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Последняя версия: 0.0.2

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Последняя версия: 0.0.2

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ELKI Data Mining Framework - Single-jar Bundle

de.lmu.ifi.dbs.elki : elki-bundle

ELKI is an open source (AGPLv3) data mining software written in Java. The focus of ELKI is research in algorithms, with an emphasis on unsupervised methods in cluster analysis and outlier detection. In order to achieve high performance and scalability, ELKI offers many data index structures such as the R*-tree that can provide major performance gains. ELKI is designed to be easy to extend for researchers and students in this domain, and welcomes contributions in particular of new methods. ELKI aims at providing a large collection of highly parameterizable algorithms, in order to allow easy and fair evaluation and benchmarking of algorithms.

Последняя версия: 0.7.1

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ELKI - LibSVM based extensions

de.lmu.ifi.dbs.elki : elki-libsvm

ELKI - LibSVM based extensions – Open-Source Data-Mining Framework with Index Acceleration

Последняя версия: 0.7.5

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ELKI - Documentation Utilities

de.lmu.ifi.dbs.elki : elki-docutil

ELKI - Documentation Utilities – Open-Source Data-Mining Framework with Index Acceleration

Последняя версия: 0.7.5

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commercetools-sdk-java-ml

com.commercetools.sdk : commercetools-sdk-java-ml

The e-commerce SDK from commercetools Composable Commerce for Java

Последняя версия: 8.10.0

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shijingsh-ai-jsat

com.github.shijingsh : shijingsh-ai-jsat

Sonatype helps open source projects to set up Maven repositories on https://oss.sonatype.org/

Последняя версия: 1.0.0

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jsatbuilder

hu.webarticum : jsatbuilder

SAT formula builder with constraint dependency tracking, written in Java

Последняя версия: 0.2

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Последняя версия: 0.1.2

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Последняя версия: 14.1

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