General Hidden Markov Model Library

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Description

The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.

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Additional Project Details

Intended Audience

Developers, Education, Science/Research

User Interface

Command-line, Tk

Programming Language

C, C++, Python

Registered

2002-11-13
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