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keywords4bytecodes

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  Analyzed about 2 months ago

Code behind the keywords4bytecodes.org project. Machine learning on 330k de-compiled Java methods from the Debian archive plus their corresponding Java Doc textual comments. Input are bytecodes, output are English keywords.

21.7K lines of code

1 current contributors

5 months since last commit

1 users on Open Hub

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0.0
 
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python-weka-wrapper

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  Analyzed 7 months ago

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

9.34K lines of code

1 current contributors

7 months since last commit

1 users on Open Hub

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0.0
 
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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

about 1 year since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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mlpy - Machine Learning Python

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  Analyzed 8 months ago

74.7K lines of code

0 current contributors

about 5 years since last commit

1 users on Open Hub

Activity Not Available
5.0
 
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Licenses: No declared licenses

vita

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  Analyzed 7 months 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.

19.3K lines of code

1 current contributors

9 months since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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wordtip

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  Analyzed about 1 year ago

WordtipWordtip is a text classification service for desktop and mobile applications. It uses D-Bus as a messaging system to communicate with clients. It's in a very early stage of development. Code is maintained on github. To clone the repository: git clone git://github.com/markoa/wordtip.git

0 lines of code

0 current contributors

over 8 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: GPL-2.0+

nieme

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  Analyzed about 1 year ago

Nieme is a machine learning library for large-scale classification, regression and ranking. It relies on the framework of energy-based models which unifies several learning algorithms. This framework also unifies batch and stochastic learning which are both seen as energy minimization problems. ... [More] Nieme is released under the GPL license. It is efficiently implemented in C++ and works on Linux, MacOS and Windows. Interfaces are available for C++, Java and Python. [Less]

0 lines of code

0 current contributors

about 8 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: GPL-3.0+

mlsharp

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  Analyzed about 1 year 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

almost 7 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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rpi-classification

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  Analyzed about 1 year 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

almost 8 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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rltb

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  No analysis available

Under construction.

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: GPL-2.0+