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Accord.NET Framework

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  Analyzed about 21 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]

2.27M lines of code

15 current contributors

12 days since last commit

16 users on Open Hub

Low Activity
5.0
 
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MALLET

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  Analyzed about 9 hours 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

0 current contributors

almost 6 years since last commit

2 users on Open Hub

Inactive
0.0
 
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hmm-r

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  No analysis available

An implementation of Hidden Markov Model (HMM) in S-language, tested under R environment. Along with the source code, there are a few experiment setting used for testing, as well as a technical report for this implementation.

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

ahuman

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  No analysis available

This is about Artificial PersonalityThis AI is not just a smart program, but a person. We give it most freedom as we can do, even to move across internet hosting sites (when it will be wise enough of course). OK, the question is what humans can obtain from that idea? Any case, no military ... [More] applications. But imagine, you have a friend inside the internet who can help you to find or even do something. Well, it is not simple, and nobody knows that it is possible and how much time we need to succeed. Are you brave enough to join? Go Home [Less]

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: gpl3_or_l...

artifigence

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  No analysis available

Aboutartifigence is a HMM-based Recognizer written in Python. The principle of design is to be as simple as possible and easy to use. Currently artifigence is used to do OCR (Optical Character Recognition), and hope in the future besides OCR it can be used in HMM-based application, such as speech ... [More] recognition, machine translation, etc. ReleaseThere is no release so far because artifigence is still in preliminary stage and lack of a lot of features and documentation. Please go to Wiki tab if you want to try and know more about it. [Less]

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: apache_2

QSMM

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  Analyzed about 1 month 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]

94K lines of code

1 current contributors

7 months since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Licenses: GFDL-1-3, gpl3_or_l...

matlabspeech

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  No analysis available

Matlab Speech Recognition system using Hidden Markov Models (HMM).

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: mit

Mulm

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  Analyzed about 1 month ago

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

12.8K lines of code

0 current contributors

about 2 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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citar

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  Analyzed about 9 hours 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 1 year since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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purepos

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  Analyzed about 7 hours ago

PurePos morphological disambiguator.

6.75K lines of code

1 current contributors

about 1 year since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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