DoWhy is a Python library for causal inference that supports explicit mo...
A probabilistic programming library for Bayesian deep learning, generati...
DGMs for NLP. A roadmap.
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
Scikit-learn compatible estimation of general graphical models
Robopy is a python port for Robotics Toolbox in Matlab created by Peter ...
Graphical language server platform for building web-based diagram editors
Scalable inference for a generative model of astronomical images
Input Output Hidden Markov Model (IOHMM) in Python
Factored inference for discrete-continuous smoothing and mapping.
pathpy is an OpenSource python package for the modeling and analysis of ...
Overview and implementation of Belief Propagation and Loopy Belief Propa...
Deep Markov Models
A toolbox for differentially private data generation
A Java Toolbox for Scalable Probabilistic Machine Learning