Python Library for Probabilistic Graphical Models

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

Rust implemention of causal graphs and algorithms

Benchmarks for causal inference tasks using pgmpy

Tools used to generate the SciPy conference proceedings

Probabilistic Graphical Models from Scratch with support for LWF Chain Graphs

Graphical analysis of structural causal models / graphical causal models.

Glaze firing temperature prediction using recipes in the Glazy database.

Computations and statistics on manifolds with geometric structures.

Probabilistic reasoning and statistical analysis in TensorFlow

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic …