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. The development is hosted at Sourceforge http://sourceforge.net/projects/ghmm/, where you have access to the Subversion repository, mailing lists and forums.
The GHMM is developed by the Algorithmics group at the Max Planck Institute for Molecular Genetics.
Features
- Discrete and continous emissions
- Mixtures of PDFs for continous 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
- Portable (autoconf, automake, Windows)
- C++ API (NOT under active development, unsupported)
