Editing Dynamic Bayesian network (section)

== Software ==
* {{github|bayesnet/bnt}}: the Bayes Net Toolbox for Matlab, by Kevin Murphy, (released under a [[GNU General Public License|GPL license]])
* [https://web.archive.org/web/20150228005644/http://melodi.ee.washington.edu/gmtk/ Graphical Models Toolkit] (GMTK): an open-source, publicly available toolkit for rapidly prototyping statistical models using dynamic graphical models (DGMs) and dynamic Bayesian networks (DBNs). GMTK can be used for applications and research in speech and language processing, bioinformatics, activity recognition, and any time-series application.
* [http://www.bioss.ac.uk/~dirk/software/DBmcmc/ DBmcmc] : Inferring Dynamic Bayesian Networks with MCMC, for Matlab (free software)
* {{Google Code|globalmit|GlobalMIT Matlab toolbox}}: Modeling gene regulatory network via global optimization of dynamic bayesian network (released under a [[GNU General Public License|GPL license]])
* [http://staff.science.uva.nl/~jmooij1/libDAI/ libDAI]: C++ library that provides implementations of various (approximate) inference methods for discrete graphical models; supports arbitrary factor graphs with discrete variables, including discrete Markov Random Fields and Bayesian Networks (released under the [[FreeBSD license]])
* [http://agrum.gitlab.io aGrUM]: C++ library (with Python bindings) for different types of PGMs including Bayesian Networks and Dynamic Bayesian Networks (released under the GPLv3)
* [https://github.com/sysbiolux/FALCON/ FALCON]: Matlab toolbox for contextualization of DBNs models of regulatory networks with biological quantitative data, including various regularization schemes to model prior biological knowledge (released under the GPLv3)

[[Category:Bayesian networks]]


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