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Datumbox Machine Learning Framework

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  Analyzed 1 day ago

The Datumbox Machine Learning Framework is an open-source framework written in Java which allows the rapid development Machine Learning and Statistical applications. The main focus of the framework is to include a large number of machine learning algorithms & statistical tests and being able to handle medium-large sized datasets.

22.8K lines of code

0 current contributors

about 5 years since last commit

0 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in Java
Licenses: apache_2
Tags algorithms artificial_intelligence bigdata classification clustering data_analysis datamining java library linearprogramming machine_learning machinelearning 8 more...

ontocluster

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  Analyzed about 24 hours ago

Cluster dbPedia (http://dbpedia.org) instances based on the type of relations defined for them.

609 lines of code

0 current contributors

almost 9 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Java
Licenses: gpl3
Tags clustering dbpedia machinelearning mahout ontology ontology_engineering

yvytu

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  Analyzed 1 day ago

Identification of weather events with agricultural impact in Spanish news.

91 lines of code

0 current contributors

almost 11 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Perl
Licenses: mit
Tags agriculture disasterrelief flood hail machinelearning naturallanguageprocessing news_grabber text_classification weather

ktree

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  Analyzed 1 day ago

K-tree provides a scalable approach to clustering by combining the B+-tree and k-means algorithms. Clustering can be used to solve problems in signal processing, machine learning and other contexts.

18.9K lines of code

0 current contributors

over 12 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Java
Licenses: No declared licenses
Tags clustering k-means machinelearning

golang-stats

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  Analyzed 10 days ago

A comprehensive Golang statistics package with many common functions missing from the standard library. Much effort was put forth to keeping 100% code coverage and having complete documentation. Functions included: Min, Max, Sum, Mean, Median, Mode, Sample, Round, StandardDeviation ... [More] , StandardDeviationPopulation, StandardDeviationSample, Percentile, PercentileNearestRank, LinearRegression, ExponentialRegression, LogarithmicRegression, Variance, PopulationVariance, SampleVariance, Quartile, InterQuartileRange, Midhinge, Trimean, QuartileOutliers, GeometricMean, HarmonicMean, Covariance, Correlation [Less]

3.98K lines of code

6 current contributors

6 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
0 Reviews
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Mostly written in Go
Licenses: mit
Tags algorithms analysis analytics business-intelligence data intelligence machine-learning machinelearning math mathmatics metrics research 3 more...

paperless-ng

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  Analyzed 1 day ago

A supercharged version of paperless: scan, index and archive all your physical documents

67.6K lines of code

0 current contributors

over 2 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Python
Licenses: AGPL3_or_...
Tags machinelearning ocr paperless pdf

Apache Spot (Incubating)

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  Analyzed 1 day ago

Apache Spot is a community-driven cybersecurity project, built from the ground up, to bring advanced analytics to all IT Telemetry data on an open, scalable platform. It is an open source software for leveraging insights from flow and packet analysis. Spot expedites threat detection, investigation ... [More] , and remediation via machine learning and consolidates all enterprise security data into a comprehensive IT telemetry hub based on open data models. Spot’s scalability and machine learning capabilities support an ecosystem of ML-based applications that can run simultaneously on a single, shared, enriched data set to provide organizations with maximum analytic flexibility. [Less]

11.2M lines of code

3 current contributors

1 day since last commit

0 users on Open Hub

Very High Activity
0.0
 
0 Reviews
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Mostly written in Java
Licenses: No declared licenses
Tags cybersecurity datascience machinelearning security spark

AI Project

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  Analyzed 1 day ago

Final project for artificial intelligence

1.59K lines of code

0 current contributors

almost 13 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Prolog
Licenses: mit
Tags artificialintelligence machinelearning petrinet prolog workflow

PL/R

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  Analyzed 1 day ago

PL/R is a loadable procedural language that enables you to write PostgreSQL functions and triggers in the R programming language. PL/R offers most (if not all) of the capabilities a function writer has in the R language.

0 lines of code

0 current contributors

almost 9 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
0 Reviews
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Mostly written in language not available
Licenses: gpl
Tags analytics bioinformatics c geospatial linear_algebra machinelearning math mathematics matrix numerical postgres postgresql 5 more...

python-weka-wrapper3

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  Analyzed about 22 hours ago

Python3 wrapper for the Weka machine learning workbench using the javabridge library.

10.2K lines of code

1 current contributors

9 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
0 Reviews
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Mostly written in Python
Licenses: gpl3
Tags classification clustering datageneration machinelearning preprocessing python3 weka