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Multi-label Extension to Weka

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  Analyzed 15 days ago

Multi-label methods using the Weka and MOA machine learning frameworks

15.3K lines of code

2 current contributors

3 months since last commit

2 users on Open Hub

Low Activity
0
 

mlpy - Machine Learning Python

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  Analyzed 4 months ago

Machine Learning PY is a high-performance Python/NumPy based package for Machine Learning.

74.7K lines of code

0 current contributors

Almost 3 years since last commit

2 users on Open Hub

Activity Not Available
5.0
 

fast-random-forest

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  Analyzed 30 days ago

What is FastRandomForest?FastRandomForest is a re-implementation of the Random Forest classifier (RF) for the Weka environment that brings speed and memory use improvements over the original Weka RF. Speed gains depend on many factors, but a 5-10x increase over Weka 3-6-1 on a quad core computer is not uncommon, along with a 1.5x red... [More]

1.78K lines of code

0 current contributors

Over 1 year since last commit

2 users on Open Hub

Very Low Activity
0
 

randomforest-matlab

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  Analyzed about 1 month ago

This is a Matlab (and Standalone application) port for the excellent machine learning algorithm `Random Forests' - By Leo Breiman et al. from the R-source by Andy Liaw et al. http://cran.r-project.org/web/packages/randomForest/index.html ( Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener.) Cu... [More]

4.96K lines of code

0 current contributors

Almost 2 years since last commit

2 users on Open Hub

Activity Not Available
0
 

MALLET

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  Analyzed about 1 month ago

MALLET (A Machine Learning for Language Toolkit) is an integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine learning applications to text

91.9K lines of code

1 current contributors

11 months since last commit

2 users on Open Hub

Activity Not Available
0
 

confusionmatrix-weka-package

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  Analyzed about 1 month ago

Weka package containing different visualizations of a classifier's confusion matrix in the Explorer.

1.39K lines of code

1 current contributors

5 months since last commit

1 users on Open Hub

Activity Not Available
0
 

vita

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  Analyzed about 1 month ago

Vita is a scalable, high performance C++ genetic programming / genetic algorithms framework. It's suitable for classification, symbolic regression, content base image retrieval, data mining and agent control.

14.1K lines of code

1 current contributors

2 months since last commit

1 users on Open Hub

Activity Not Available
0
 

python-weka-wrapper

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  Analyzed 12 days ago

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

5.6K lines of code

1 current contributors

About 1 month since last commit

1 users on Open Hub

New Project
0
 

mlsharp

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  Analyzed 2 months ago

ML# (ML-Sharp) is a machine learning toolkit created in C# 3.0. It is similar to the Weka library for Java, and it is able to consume some Weka functionality via interop through IKVM. ML# has numerous advantages over Weka including a cleaner API and faster run-time execution.

22.2K lines of code

0 current contributors

Over 4 years since last commit

0 users on Open Hub

Activity Not Available
0
 

rpi-classification

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  Analyzed about 1 month ago

A text based classification system for documents that focuses on the content rather than tagging. Originally designed to test the viability of pure statistical analysis of documents, but may be extended to use more sophisticated methods.

1.37K lines of code

0 current contributors

Over 5 years since last commit

0 users on Open Hub

Activity Not Available
0