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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.
RefineHMM refines an original hidden Markov model (HMM) to find an optimal fit
against the evolutionary group that the HMM models, and it does this using
through iterative database searches and incremental subsequent adaptation of
the seed set.
D-finder is a bioinformatic search algorithm for the identification of D-sites in JNK interacting proteins. The algorithm is a combination of pattern matching and a hidden markov model (HMM) based on a training set of known JNK D-sites.
t2prhd is a Perl script which generates simple diagrams that highlight relationships of sequence repeats detected by using a profile HMM in two sequences. Homology relations are identified on the basis of the phylogeny of repeats.
Helium WebMiB is a PHP script / phpBB3 MOD that integrates with a Helium Music Manager database to provide a web front-end display for your music collection, an easy way for your friends & family to view your music collection from anywhere in the world.
HmmSDK is a hidden Markov model (HMM) software development kit written in Java. It consists of core library of HMM functions (Forward-backward, Viterbi, and Baum-Welch algorithms) and toolkits for application development.
This is a project to create a compiler that converts grammars written in SRGS standard (http://www.w3.org/TR/speech-grammar/) to a graph understandable by HMM based ASR engines. Check srgs-parser.sf.net
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