Tags : Browse Projects

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FACTORIE

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  Analyzed 1 day ago

FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.

70.1K lines of code

0 current contributors

over 6 years since last commit

1 users on Open Hub

Inactive
0.0
 
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Java Neural Network Framework Neuroph

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  Analyzed about 1 hour ago

Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.

117K lines of code

0 current contributors

almost 10 years since last commit

1 users on Open Hub

Inactive
5.0
 
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urlclassy

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  Analyzed about 20 hours ago

URL Classy: Guessing a class for a URL only from its text.

743 lines of code

0 current contributors

about 9 years since last commit

1 users on Open Hub

Inactive
0.0
 
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MinorThird

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  Analyzed about 12 hours ago

MinorThird is an SDK/API for machine learning and information extraction, primarily on text data. A range of algorithms are included and is integrated tightly with the visualization tools for manual and automatic annotation of text.

61.1K lines of code

0 current contributors

about 13 years since last commit

1 users on Open Hub

Inactive
0.0
 
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Licenses: No declared licenses

ELKI

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  Analyzed about 21 hours ago

ELKI: "Environment for Developing KDD-Applications Supported by Index-Structures" is a development framework for data mining algorithms written in Java. It includes a large variety of popular data mining algorithms, distance functions and index structures. Its focus is particularly on clustering ... [More] and outlier detection methods, in contrast to many other data mining toolkits that focus on classification. Additionally, it includes support for index structures to improve algorithm performance such as R*-Tree and M-Tree. The modular architecture is meant to allow adding custom components such as distance functions or algorithms, while being able to reuse the other parts for evaluation. [Less]

213K lines of code

2 current contributors

about 1 month since last commit

1 users on Open Hub

Low Activity
5.0
 
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mulan

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  Analyzed about 9 hours ago

We developed a package of Java classes for Multi-label classification, called Mulan. The package contain source files and compiled classes of several problem transformation methods for multilabel classification, an evaluation framework that computes several multilabel classification evaluation ... [More] measures and a statistics class providing. The software is distributed under the GNU GPL licence. The package requires Java v1.5 or better and Weka v3.5.5. [Less]

20K lines of code

0 current contributors

over 9 years since last commit

1 users on Open Hub

Inactive
5.0
 
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Multi-armed bandit

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  No analysis available

The bandit project is a repository of the various known algorithmic solutions for the multi-armed bandit problem. The project is also a repository of several datasets that could be used for benchmarking purposes.

0 lines of code

0 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available
5.0
 
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Mostly written in language not available
Licenses: lgpl

keywords4bytecodes

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  Analyzed 3 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

2 current contributors

about 5 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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ilastik

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  Analyzed about 12 hours ago

Interactive Learning and Segmentation Toolkit

128K lines of code

18 current contributors

5 days since last commit

1 users on Open Hub

Moderate Activity
0.0
 
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VIGRA

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  Analyzed about 22 hours ago

VIGRA stands for "Vision with Generic Algorithms". It's a novel computer vision library that puts its main emphasis on customizable algorithms and data structures. By using template techniques similar to those in the C++ Standard Template Library, you can easily adapt any VIGRA component to the ... [More] needs of your application, without thereby giving up execution speed. As of version 1.7.1, VIGRA also provides extensive Python bindings on the basis of the popular numpy framework. [Less]

307K lines of code

2 current contributors

about 1 month since last commit

1 users on Open Hub

Low Activity
0.0
 
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