graphical-models

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow