From: Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Name | Authors | Source | Inference | Learning |
---|---|---|---|---|
Bayes Blocks | Harva et al. [30] | Python/C++ | Ensemble learning | VB |
BNT | Murphy [31] | Matlab/C | JTI, MCMC | EM |
BUGS | Lunn et al. [32] | N | Gibbs | Gibbs |
Elvira | Elvira Consortium [33] | Java | JTI, IS | EM |
Genie | U. Pittsburgh [34] | N | JTI | EM |
GMTk | Blimes, Zweig [35] | N | JTI | EM |
Infer.NET | Winn and Minka [36] | C# | BP, EP, Gibbs, VB | EP |
JAGS | Plummer | C++ | Gibbs | Gibbs |
Mocapy++ | Paluszewski and Hamelryck | C++ | Gibbs | S-EM, MC-EM |