#Graphical-models
Showing 7 of 7 repositories tagged #graphical-models, ranked by stars
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.
Python Toolkit for Causal and Probabilistic Reasoning
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
Graphical language server platform for building web-based diagram editors
Kalman Variational Auto-Encoder
LoMRF is an open-source implementation of Markov Logic Networks