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Accord.NET Framework

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  Analyzed about 24 hours ago

The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications. A comprehensive set ... [More] of sample applications provide a fast start to get up and running quickly, and an extensive online documentation helps fill in the details. [Less]

2.2M lines of code

15 current contributors

over 3 years since last commit

20 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in C#
Licenses: lgpl21_or...
Tags artificialintelligence c# computervision csharp dotnet framework gaussianmixturemodel gmm hmm imageprocessing kernels kmeans 8 more...

MALLET

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  No analysis available

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

0 lines of code

0 current contributors

0 since last commit

2 users on Open Hub

Activity Not Available
0.0
 
0 Reviews
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Mostly written in language not available
Licenses: common_pu...
Tags algorithms classification clustering crf framework hidden_markov_model hmm java machine_learning optimization topic_model

citar

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  Analyzed 42 minutes ago

Citar is a C++ free software part of speech tagger using a trigram Hidden Markov Model (HMM), with linear interpolation smoothing of trigrams and suffix-based unknown word handling. Features Citar has the following major features: * High accuracy tagging through a trigram Hidden Markov ... [More] Model with Viterbi decoding. * Handling of unknown words through suffix analysis. * Licensed under the GNU Lesser General Public License version 2.1 (LGPLv2.1), which only imposes restrictions on redistribution of Citar itself. * Written in C++ for performance. [Less]

1.56K lines of code

0 current contributors

over 5 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Go
Licenses: lgpl
Tags citar cplusplus hidden hmm markov model part speech tagger trigram

Mulm

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  Analyzed about 7 hours ago

Mulm is a state-of-the-art Hidden Markov Model toolkit.

12.8K lines of code

0 current contributors

over 6 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Lisp
Licenses: gpl3
Tags hmm languagemodel markov n-gram nlp partofspeech tagging trigram trigrams

purepos

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  Analyzed about 12 hours ago

PurePos morphological disambiguator.

6.84K lines of code

1 current contributors

almost 4 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Java
Licenses: lgpv3_or_...
Tags analyzer command_line computational_linguistics corpus hmm java language languages morphological_analysis natural natural_language natural_language_processing 8 more...

QSMM

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  Analyzed about 6 hours ago

A framework for learning finite automatons that perform goal-directed interaction with entities which exhibit deterministic or stochastic behavior. The learning process can be carried out in real time together with the interaction process. A basic building block for supporting state models of finite ... [More] automatons is adaptive probabilistic mapping, which for an argument from its domain returns more often results that maximize or minimize values of one or more objective functions. Finite automatons can be represented by assembler programs with user-defined instructions that perform effective work. To assist in the learning of a finite automaton, a template for its state model can be provided as an assembler program with probabilistic jump instructions. [Less]

121K lines of code

1 current contributors

24 days since last commit

0 users on Open Hub

Very Low Activity
0.0
 
0 Reviews
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Mostly written in C
Licenses: GFDL-1-3, gpl3_or_l...
Tags boltzmann c framework hmm markov viterbi

jitar

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  Analyzed about 21 hours ago

JitarJitar is an open source part of speech tagger using a trigram Hidden Markov Model (HMM). FeaturesJitar has the following major features: High accuracy tagging through a trigram Hidden Markov Model with Viterbi decoding. Handling of unknown words through suffix analysis. Licensed under ... [More] the GNU Lesser General Public License version 3 (LGPLv3), which only imposes restrictions on redistribution of Jitar itself. Written in Java, allowing for easy integration with other programs that are built upon the excellent JDK platform. AvailabilityJitar 0.0.2 is now available, and can be obtained in source or compiled form from the Downloads page. You can also use Subversion to retrieve this version of Jitar: svn checkout http://jitar.googlecode.com/svn/tags/jitar-0.0.2After checking out or dow [Less]

1.84K lines of code

0 current contributors

over 8 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Java
Licenses: lgpl
Tags hmm java part pos speech tagger