Jump to letter: [
234ABCDEFGHIJKLMNOPQRSTUVWXYZ
]
ghmm - A library with data structures and algorithms for Hidden Markov Models
- Description:
The General Hidden Markov Model library (GHMM) is a freely available
LGPL-ed C library implementing efficient data structures and algorithms
for basic and extended HMMs.
It is developed by the Algorithmics group at the Max Planck Institute
for Molecular Genetics.
Features:
* Discrete and continuous emissions
* Mixtures of PDFs for continuous emissions
* Non-homogenous Markov chains
* Pair HMMs (contributed by Genoscope)
* Clustering and mixture modelling for HMMs
* Graphical Editor HMMEd
* Python bindings
* XML-based file format
Packages