Banjo is a software application and framework for structure learning of static and dynamic Bayesian networks. Banjo was designed to provide efficient structure inference when analyzing large, research-oriented data sets, while at the same time being accessible enough for students and researchers to explore and experiment with the algorithms.
Contact: Alex Hartemink, amink@cs.duke.edu