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The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm.
In this Repository, Algorithms of learning HMM with two approaches is implemented: first, learn parameter when having observations and related state of them with Maximum Likelihood Alg. and the second approach in the condition that just have observations with forward-backward Alg. after constructing HMM Viterbi Alg. is implemented to test a sequence of observation.