All Downloads are FREE. Search and download functionalities are using the official Maven repository.

Download JAR files tagged by algorithms with all dependencies

Search JAR files by class name

IAMsystem from group fr.erias (version 2.2.0)

A fast dictionary-based approach for semantic annotation / entity linking. IAMsystem is efficient at annotating documents with large dictionaries and approximate string matching algorithms. Description of the system can be found in the following paper : "Cossin S, Jouhet V, Mougin F, Diallo G and Thiessard F. IAM at CLEF eHealth 2018: Concept Annotation and Coding in French Death Certificates. CEUR-WS. September 2018"

Group: fr.erias Artifact: IAMsystem
Show all versions Show documentation Show source 
 

0 downloads
Artifact IAMsystem
Group fr.erias
Version 2.2.0
Last update 31. March 2023
Organization Computer research applied to health ERIAS - Bordeaux Population Health - Research Center U1219
URL https://github.com/scossin/IAMsystem
License MIT License
Dependencies amount 2
Dependencies liblevenshtein, org.apache.commons.codec,
There are maybe transitive dependencies!

boost_mpl from group com.github.brunotl (version 1.81.0)

The Boost.MPL library is a general-purpose, high-level C++ template metaprogramming framework of compile-time algorithms, sequences and metafunctions. It provides a conceptual foundation and an extensive set of powerful and coherent tools that make doing explict metaprogramming in C++ as easy and enjoyable as possible within the current language.

Group: com.github.brunotl Artifact: boost_mpl
There is no JAR file uploaded. A download is not possible! Please choose another version.
0 downloads
Artifact boost_mpl
Group com.github.brunotl
Version 1.81.0
Last update 07. January 2023
Organization not specified
URL https://www.boost.org/
License Distributed under the Boost Software License, Version 1.0.
Dependencies amount 7
Dependencies boost_preprocessor, boost_type_traits, boost_config, boost_static_assert, boost_detail, boost_predef, boost_utility,
There are maybe transitive dependencies!

fastutil from group co.datadome (version 8.5.11.1)

fastutil extends the Java Collections Framework by providing type-specific maps, sets, lists, and queues with a small memory footprint and fast access and insertion; it provides also big (64-bit) arrays, sets and lists, sorting algorithms, fast, practical I/O classes for binary and text files, and facilities for memory mapping large files. Note that if you have both this jar and fastutil-core.jar in your dependencies, fastutil-core.jar should be excluded.

Group: co.datadome Artifact: fastutil
Show documentation Show source 
 

0 downloads
Artifact fastutil
Group co.datadome
Version 8.5.11.1
Last update 25. December 2022
Organization not specified
URL http://fastutil.di.unimi.it/
License Apache License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!

wekaPython from group nz.ac.waikato.cms.weka (version 1.0.18)

Integration with CPython for Weka. Python version 2.7.x or higher is required. Also requires the following packages to be installed in python: numpy, pandas, matplotlib and scikit-learn. This package provides a wrapper classifier and clusterer that, between them, cover 60+ scikit-learn algorithms. It also provides a general scripting step for the Knowlege Flow along with scripting plugin environments for the Explorer and Knowledge Flow.

Group: nz.ac.waikato.cms.weka Artifact: wekaPython
Show all versions Show documentation Show source 
 

0 downloads
Artifact wekaPython
Group nz.ac.waikato.cms.weka
Version 1.0.18
Last update 25. November 2022
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/wekaPython
License GNU General Public License 3
Dependencies amount 6
Dependencies weka-dev, jsyntaxpane, jackson-databind, jackson-module-parameter-names, commons-codec, commons-io,
There are maybe transitive dependencies!

moa-kafka from group nz.ac.waikato.cms.adams (version 2022.10.17)

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.

Group: nz.ac.waikato.cms.adams Artifact: moa-kafka
Show documentation Show source 
 

0 downloads
Artifact moa-kafka
Group nz.ac.waikato.cms.adams
Version 2022.10.17
Last update 17. October 2022
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3
Dependencies amount 2
Dependencies moa, kafka-clients,
There are maybe transitive dependencies!

weka-package from group nz.ac.waikato.cms.adams (version 2022.10.17)

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.

Group: nz.ac.waikato.cms.adams Artifact: weka-package
Show documentation 
 

0 downloads
Artifact weka-package
Group nz.ac.waikato.cms.adams
Version 2022.10.17
Last update 17. October 2022
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3
Dependencies amount 1
Dependencies moa,
There are maybe transitive dependencies!

moa from group nz.ac.waikato.cms.adams (version 2022.10.17)

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. ADAMS fork.

Group: nz.ac.waikato.cms.adams Artifact: moa
Show documentation Show source 
 

0 downloads
Artifact moa
Group nz.ac.waikato.cms.adams
Version 2022.10.17
Last update 17. October 2022
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3.0
Dependencies amount 16
Dependencies weka-dev, sizeofag, guava, jclasslocator, jshell-scripting, meka, commons-math3, opencsv, commons-cli, commons-io, jfreechart, gson, ssj, JMathPlot, JMathIO, slf4j-log4j12,
There are maybe transitive dependencies!

moa-pom from group nz.ac.waikato.cms.adams (version 2022.10.17)

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. ADAMS fork.

Group: nz.ac.waikato.cms.adams Artifact: moa-pom
There is no JAR file uploaded. A download is not possible! Please choose another version.
0 downloads
Artifact moa-pom
Group nz.ac.waikato.cms.adams
Version 2022.10.17
Last update 17. October 2022
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
There are maybe transitive dependencies!

commons-rng-core from group org.apache.commons (version 1.5)

Pure Java implementations of random numbers generator algorithms. Code in this module should not be used directly by applications; please use the client interface defined in module "commons-rng-client-api" and the factory methods defined in module "commons-rng-simple". In a future release, modularization may be enforced through JPMS access restrictions.

Group: org.apache.commons Artifact: commons-rng-core
Show all versions Show documentation Show source 
 

3 downloads
Artifact commons-rng-core
Group org.apache.commons
Version 1.5
Last update 05. October 2022
Organization not specified
URL Not specified
License not specified
Dependencies amount 1
Dependencies commons-rng-client-api,
There are maybe transitive dependencies!

fastutil-extra from group it.unimi.dsi (version 8.5.4)

fastutil extends the Java Collections Framework by providing type-specific maps, sets, lists and priority queues with a small memory footprint and fast access and insertion; provides also big (64-bit) arrays, sets and lists, sorting algorithms, and fast, practical I/O classes for binary and text files. This module adds data structures based on references, bytes, and characters.

Group: it.unimi.dsi Artifact: fastutil-extra
Show all versions Show documentation Show source 
 

0 downloads
Artifact fastutil-extra
Group it.unimi.dsi
Version 8.5.4
Last update 28. March 2021
Organization not specified
URL http://fastutil.di.unimi.it/
License Apache License, Version 2.0
Dependencies amount 1
Dependencies fastutil-core,
There are maybe transitive dependencies!



Page 88 from 99 (items total 984)


© 2015 - 2024 Weber Informatics LLC | Privacy Policy