This repository contains sample code implementing the Long Short-term Graphical model presented in the paper
Anand Ramachendran, Steven S. Lumetta, Eric Klee, Deming Chen, "A recurrent Markov state-space generative model for sequences", AISTATS 2019
The following directories are included
- networks: Contains the base model and associated code (lsgm.py, motif_finder.py, bidirectional_lsgm.py).
- misc: Contains additional code to support training.
- applications: Contains code to run model training/evaluation.
The implementation uses pytorch