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csv from group no.laukvik (version 0.9.3)

LaukvikCSV is a powerful API for reading, writing and querying tabular data stored in the CSV format. In contrast to other API it lets you specify data types for each column using meta data. It automatically detects delimiters so you don't have to worry about delimiters being comma, tab, pipe, semicolon etc. Run powerful queries to filter your data easily with a fluid query language thats type safe. Export your tabular data to CSV, JSON, XML and HTML.

Group: no.laukvik Artifact: csv
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Artifact csv
Group no.laukvik
Version 0.9.3
Last update 27. May 2017
Organization not specified
URL https://github.com/laukvik/CSV
License The Apache Software License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
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dkpro-lab-uima-engine-uimaas from group org.dkpro.lab (version 0.13.0)

Group: org.dkpro.lab Artifact: dkpro-lab-uima-engine-uimaas
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Artifact dkpro-lab-uima-engine-uimaas
Group org.dkpro.lab
Version 0.13.0
Last update 20. October 2016
Organization not specified
URL Not specified
License not specified
Dependencies amount 7
Dependencies dkpro-lab-uima, dkpro-lab-support-slf4j, spring-jms, uimaj-as-core, uimaj-as-jms, uimaj-as-activemq, dom4j,
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dkpro-lab-ml-example from group org.dkpro.lab (version 0.13.0)

Group: org.dkpro.lab Artifact: dkpro-lab-ml-example
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Artifact dkpro-lab-ml-example
Group org.dkpro.lab
Version 0.13.0
Last update 20. October 2016
Organization not specified
URL Not specified
License not specified
Dependencies amount 9
Dependencies xercesImpl, xalan, uimafit-core, uimafit-legacy-support, cleartk-ml, cleartk-ml-opennlp-maxent, cleartk-ml-mallet, de.tudarmstadt.ukp.dkpro.core.api.segmentation-asl, de.tudarmstadt.ukp.dkpro.core.tokit-asl,
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bigtable-hbase-dataflow-tools from group com.google.cloud.bigtable (version 0.9.1)

This project contains artifacts that provide utility functions for Cloud Bigtable client readers and writers in Google Cloud Dataflow. Dataflow includes a different version of the cloud bigtable client, resulting in a need to have a separation of concerns and an abstraction. More importantly, there is a need for shading and renaming of packages so that Dataflow nad bigtable-hbase-dataflow's two sets of shading (needed for a variety of reasons) don't clash with each other. This submodule does package renaming which is needed for bigtable-hbase-dataflow and alleviates some issues related to developing that module.

Group: com.google.cloud.bigtable Artifact: bigtable-hbase-dataflow-tools
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Artifact bigtable-hbase-dataflow-tools
Group com.google.cloud.bigtable
Version 0.9.1
Last update 18. July 2016
Organization not specified
URL Not specified
License not specified
Dependencies amount 2
Dependencies hbase-client, commons-lang,
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massisframework from group com.massisframework (version 1.2.22)

MASSIS is a framework that facilitates the simulation of scenarios with multiple agents (representing people, robots, sensors, etc.) in indoor environments (i.e., in a building). MASSIS provides support for designing spaces and specifying the behavior of the elements and agents in them It is possible to define a great diversity of behaviours, from a simple sensor to the decisions of a person. MASSIS has been designed to keep this flexibility withough hindering performance. The framework is capable of supporting thousands of agents, each one with an specific behavior.

Group: com.massisframework Artifact: massisframework
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Artifact massisframework
Group com.massisframework
Version 1.2.22
Last update 31. January 2016
Organization not specified
URL www.massisframework.com
License GPL3.0 License
Dependencies amount 2
Dependencies gluegen-rt-main, jogl-all-main,
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nifiLoader from group nz.ac.waikato.cms.weka (version 1.0.1)

Package for loading a directory containing MRI data in NIfTI format. The directory to be loaded must contain as many subdirectories as there are classes of MRI data. Each subdirectory name will be used as the class label for the corresponding .nii files in that subdirectory. (This is the same strategy as the one used by WEKA's TextDirectoryLoader.) Currently, the package only reads volume information for the first time slot from each .nii file. The readDoubleVol(short ttt) method from the Nifti1Dataset class (http://niftilib.sourceforge.net/java_api_html/Nifti1Dataset.html) is used to read the data for each volume into a sparse WEKA instance (with ttt=0). For an LxMxN volume (the dimensions must be the same for each .nii file in the directory!), the order of values in the generated instance is [(z_1, y_1, x_1), ..., (z_1, y_1, x_L), (z_1, y_2, x_1), ..., (z_1, y_M, x_L), (z_2, y_1, x_1), ..., (z_N, y_M, x_L)]. If the volume is an image, then only x and y coordinates are used.

Group: nz.ac.waikato.cms.weka Artifact: nifiLoader
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Artifact nifiLoader
Group nz.ac.waikato.cms.weka
Version 1.0.1
Last update 09. December 2015
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/niftiLoader
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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xapi-core-parent from group net.wetheinter (version 0.5)

This is the main aggregator for all implementation code shared between modules. Each module contains one or more service interfaces, exposed statically using "X_" prefixed classes. Core modules will define their API interfaces, their static accessor, and often a "plain-jre" default implementation which can be replaced by injection override. There must be zero external dependencies in any core modules. A low-performance, low-feature default is preferred over thick, dependency-ridden shared inherits.

Group: net.wetheinter Artifact: xapi-core-parent
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Artifact xapi-core-parent
Group net.wetheinter
Version 0.5
Last update 30. May 2015
Organization not specified
URL WeTheInter.net/source/core
License not specified
Dependencies amount 0
Dependencies No dependencies
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RBFNetwork from group nz.ac.waikato.cms.weka (version 1.0.8)

RBFNetwork implements a normalized Gaussian radial basisbasis function network. It uses the k-means clustering algorithm to provide the basis functions and learns either a logistic regression (discrete class problems) or linear regression (numeric class problems) on top of that. Symmetric multivariate Gaussians are fit to the data from each cluster. If the class is nominal it uses the given number of clusters per class. RBFRegressor implements radial basis function networks for regression, trained in a fully supervised manner using WEKA's Optimization class by minimizing squared error with the BFGS method. It is possible to use conjugate gradient descent rather than BFGS updates, which is faster for cases with many parameters, and to use normalized basis functions instead of unnormalized ones.

Group: nz.ac.waikato.cms.weka Artifact: RBFNetwork
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11 downloads
Artifact RBFNetwork
Group nz.ac.waikato.cms.weka
Version 1.0.8
Last update 16. January 2015
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/RBFNetwork
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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dkpro-lab-uima-engine-cpe from group de.tudarmstadt.ukp.dkpro.lab (version 0.11.0)

Group: de.tudarmstadt.ukp.dkpro.lab Artifact: dkpro-lab-uima-engine-cpe
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Artifact dkpro-lab-uima-engine-cpe
Group de.tudarmstadt.ukp.dkpro.lab
Version 0.11.0
Last update 18. June 2014
Organization not specified
URL Not specified
License not specified
Dependencies amount 4
Dependencies dkpro-lab-uima, uimafit-core, uimafit-cpe, xalan,
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dkpro-lab-support-slf4j from group de.tudarmstadt.ukp.dkpro.lab (version 0.11.0)

Group: de.tudarmstadt.ukp.dkpro.lab Artifact: dkpro-lab-support-slf4j
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Artifact dkpro-lab-support-slf4j
Group de.tudarmstadt.ukp.dkpro.lab
Version 0.11.0
Last update 18. June 2014
Organization not specified
URL Not specified
License not specified
Dependencies amount 4
Dependencies slf4j-log4j12, jcl-over-slf4j, jul-to-slf4j, log4j,
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