Open source HMM toolbox, with Discrete-HMM, Gaussian-HMM, GMM-HMM (matlab) Project Website: None Github Link: https://github.com/qiuqiangkong/matlab-hmm Description THIS IS AN OPEN SOURCE HMM TOOLBOX. IT IS FREE FOR INDIVIDUALS & RESEARCH. IF YOU ARE USING IT FOR COMMERCIAL USE, PLEASE CONTACT … Continue reading

# Tag Archives: Baum-Welch

hmmus: Posterior decoding with a hidden Markov model Project Website: https://pypi.python.org/pypi/hmmus Github Link: None Description Hmmus has some C implementations of HMM algorithms with Python bindings, and it is meant to be useful under the following conditions: The sequence of … Continue reading

RHMM: HMM – Hidden Markov Models Project Website: https://cran.r-project.org/web/packages/HMM/ Github Link: None Description This toolbox supports inference and learning for HMMs with discrete outputs (dhmm’s), Gaussian outputs HMM: HMM – Hidden Markov Models Easy to use library to setup, apply … Continue reading

Hidden Markov Model (HMM) Toolbox for Matlab Project Website: http://www.cs.ubc.ca/~murphyk/Software/HMM/hmm.html Github Link: https://github.com/probml/pmtk3 Description This toolbox supports inference and learning for HMMs with discrete outputs (dhmm’s), Gaussian outputs (ghmm’s), or mixtures of Gaussians output (mhmm’s). The Gaussians can be full, … Continue reading

Jahmm: An implementation of Hidden Markov Models in Java Project Website: https://code.google.com/archive/p/jahmm/ Github Link: https://github.com/KommuSoft/jahmm Description Jahmm (pronounced “jam”), is a Java implementation of Hidden Markov Model (HMM) related algorithms. It’s been designed to be easy to use (e.g. simple … Continue reading

UMDHMM: Hidden Markov Model Toolkit Project Website: http://www.kanungo.com/software/software.html#umdhmm Github Link: None Description Hidden Markov Model (HMM) Software: Implementation of Forward-Backward, Viterbi, and Baum-Welch algorithms. The software has been compiled and tested on UNIX platforms (sun solaris, dec osf and linux) … Continue reading