JarCastingBusiness Logic Libraries
Last Version: 1.0.0-beta_spark_1
Release Date:Last Version: 1.0.0-beta_spark_1
Release Date:Last Version: 1.0.0-beta6
Release Date:incal-dl4j
org.in-cal : incal-dl4j_2.11Convenient wrapper of Deeplearning4J library especially for temporal classification.
Last Version: 0.3.0
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dl4jgrapher
com.drissoft : dl4jgrapher_2.12Generates Graphviz DOT files from DL4J MultiLayerNetworks and ComputationGraphs
Last Version: 0.1.0
Release Date:Last Version: 0.5.0
Release Date:Last Version: 0.4-rc3.8
Release Date:
graphite-dl4j
net.savantly.learning : graphite-dl4jPerform machine algorithms on graphite query results
Last Version: 1.0.0-RELEASE
Release Date:Last Version: 0.4.0
Release Date:Last Version: 1.0.0-beta_spark_2
Release Date:
Last Version: 1.6.3.wso2v3
Release Date:idylnlp-nlp-document-classification-dl4j
ai.idylnlp : idylnlp-nlp-document-classification-dl4jNLP library for Java.
Last Version: 1.1.0
Release Date:Last Version: 1.0.0-M1.1
Release Date:Last Version: 1.0.0-beta7
Release Date:Last Version: 0.4-rc3.9
Release Date:Last Version: 1.0.0-M1.1
Release Date:Last Version: 0.1.2
Release Date:
ELKI - Tutorial Algorithms
de.lmu.ifi.dbs.elki : elki-tutorialELKI - Tutorial Algorithms – Open-Source Data-Mining Framework with Index Acceleration
Last Version: 0.7.5
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ELKI - Unit Test Core
de.lmu.ifi.dbs.elki : elki-test-coreELKI - Unit Test Core – Open-Source Data-Mining Framework with Index Acceleration
Last Version: 0.7.5
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com.nelkinda.japi:nelkinda-japi-swing-example-csveditor
com.nelkinda.japi : nelkinda-japi-swing-example-csveditorMake life with Swing more joyful.
Last Version: 0.0.2
Release Date:
com.nelkinda.japi:nelkinda-japi-parent
com.nelkinda.japi : nelkinda-japi-parentParent POM for building the entire JAPI repository.
Last Version: 0.0.2
Release Date:BsonMapper
me.welkinbai : BsonMappera light wrapper for mongo-java-driver Bson to convert POJO to Bson or in reverse
Last Version: 0.0.2
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com.nelkinda.japi:nelkinda-japi-swing-example-texteditor
com.nelkinda.japi : nelkinda-japi-swing-example-texteditorMake life with Swing more joyful.
Last Version: 0.0.2
Release Date:Last Version: 2.0.72
Release Date:ELKI Data Mining Framework - Parent Project
de.lmu.ifi.dbs.elki : elki-projectELKI 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.
Last Version: 0.7.1
Release Date:com.nelkinda.japi:nelkinda-japi-swing-parent
com.nelkinda.japi : nelkinda-japi-swing-parentMake life with Swing more joyful.
Last Version: 0.0.2
Release Date:
ELKI - 3D Parallel Coordinate Trees Visualization
de.lmu.ifi.dbs.elki : elki-3dpcELKI - 3D Parallel Coordinate Trees Visualization – Open-Source Data-Mining Framework with Index Acceleration
Last Version: 0.7.5
Release Date:
nelkinda-japi-swing-test
com.nelkinda.japi : nelkinda-japi-swing-testMake life with Swing more joyful.
Last Version: 0.0.2
Release Date:
com.nelkinda.japi:nelkinda-japi-swing-examples-parent
com.nelkinda.japi : nelkinda-japi-swing-examples-parentMake life with Swing more joyful.
Last Version: 0.0.2
Release Date:ELKI Data Mining Framework - Single-jar Bundle
de.lmu.ifi.dbs.elki : elki-bundleELKI 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.
Last Version: 0.7.1
Release Date:ELKI - LibSVM based extensions
de.lmu.ifi.dbs.elki : elki-libsvmELKI - LibSVM based extensions – Open-Source Data-Mining Framework with Index Acceleration
Last Version: 0.7.5
Release Date:
ELKI - Documentation Utilities
de.lmu.ifi.dbs.elki : elki-docutilELKI - Documentation Utilities – Open-Source Data-Mining Framework with Index Acceleration
Last Version: 0.7.5
Release Date:
commercetools-sdk-java-ml
com.commercetools.sdk : commercetools-sdk-java-mlThe e-commerce SDK from commercetools Composable Commerce for Java
Last Version: 8.10.0
Release Date:
shijingsh-ai-jsat
com.github.shijingsh : shijingsh-ai-jsatSonatype helps open source projects to set up Maven repositories on https://oss.sonatype.org/
Last Version: 1.0.0
Release Date:jsatbuilder
hu.webarticum : jsatbuilderSAT formula builder with constraint dependency tracking, written in Java
Last Version: 0.2
Release Date:Last Version: 0.1.2
Release Date:Last Version: 14.1
Release Date:Last Version: 0.0.17
Release Date:Last Version: 0.0.15
Release Date:Last Version: 1.0.4
Release Date:
julielab-ranklib-mallet
de.julielab : julielab-ranklib-malletThe Parent POM for all JULIE Lab projects.
Last Version: 1.0.0
Release Date:DMNBtext
nz.ac.waikato.cms.weka : DMNBtextClass for building and using a Discriminative Multinomial Naive Bayes classifier. For more information see: Jiang Su,Harry Zhang,Charles X. Ling,Stan Matwin: Discriminative Parameter Learning for Bayesian Networks. In: ICML 2008', 2008.
Last Version: 1.0.2
Release Date:iterativeAbsoluteErrorRegression
nz.ac.waikato.cms.weka : iterativeAbsoluteErrorRegressionProvides a regression scheme that uses Schlossmacher's iteratively reweighted least squares method to fit a model that minimizes absolute error. The scheme can be used with any base learner in WEKA that performs least-squares regression
Last Version: 1.0.0
Release Date:racedIncrementalLogitBoost
nz.ac.waikato.cms.weka : racedIncrementalLogitBoostClassifier for incremental learning of large datasets by way of racing logit-boosted committees. For more information see: Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
Last Version: 1.0.2
Release Date:leastMedSquared
nz.ac.waikato.cms.weka : leastMedSquaredImplements a least median squared linear regression utilizing the existing weka LinearRegression class to form predictions. Least squared regression functions are generated from random subsamples of the data. The least squared regression with the lowest meadian squared error is chosen as the final model. The basis of the algorithm is Peter J. Rousseeuw, Annick M. Leroy (1987). Robust regression and outlier detection.
Last Version: 1.0.2
Release Date:simpleCART
nz.ac.waikato.cms.weka : simpleCARTClass implementing minimal cost-complexity pruning. Note when dealing with missing values, use "fractional instances" method instead of surrogate split method. For more information, see: Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.
Last Version: 1.0.2
Release Date:thresholdSelector
nz.ac.waikato.cms.weka : thresholdSelectorA metaclassifier that selecting a mid-point threshold on the probability output by a Classifier. The midpoint threshold is set so that a given performance measure is optimized. Currently this is the F-measure. Performance is measured either on the training data, a hold-out set or using cross-validation. In addition, the probabilities returned by the base learner can have their range expanded so that the output probabilities will reside between 0 and 1 (this is useful if the scheme normally produces probabilities in a very narrow range).
Last Version: 1.0.3
Release Date: