Amidst | AMISDT toolbox allows to model your problem using a flexible probabilistic language, based on graphical models. | Java |
MoTBFs | MoTBFs is an R package for learning hybrid Bayesian networks using mixtures of truncated basis functions. | R |
BCAUSE | The BCAUSE package performs causal and counterfactual reasoning using probabilistic graphical models. | Python |
InferPy | InferPy is a high-level API for probabilistic modeling in Python, designed to facilitate rapid prototyping, flexible data processing, and scalable inference, inspired by Keras and compatible with TensorFlow. | Python |
rPACI | The rPACI package calculates corneal irregularity indices from data obtained from a Placido disk corneal topographer. | R |