BayesianNetwork — Peer-reviewed • Rank 15.5 • Science 93%

BayesianNetwork: Interactive Bayesian Network Modeling and Analysis - Published in JOSS (2018)

pgmpy • Rank 25.1 • Science 54%

Python library for building, learning, and reasoning with causal models.

pycid • Rank 11.0 • Science 67%

Library for graphical models of decision making, based on pgmpy and networkx

https://github.com/py-why/dowhy • Rank 24.8 • Science 46%

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.

causalnex • Rank 11.4 • Science 54%

A Python library that helps data scientists to infer causation rather than observing correlation.

dbnr • Rank 10.6 • Science 36%

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

ccdrAlgorithm • Rank 14.6 • Science 23%

Structure learning for Bayesian networks using the CCDr algorithm.

https://github.com/cbg-ethz/sgs • Rank 3.1 • Science 23%

Inference in Bayesian Networks with R

https://github.com/cbg-ethz/clustnet • Rank 1.9 • Science 13%

Network-based clustering

https://github.com/cbg-ethz/myeloid-clustering • Rank 0.0 • Science 13%

This repository contains supplementary information, data and code for the manuscript: Bayer et al. 2023, "Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies"

bn-based-learning-networks-with-noisy-gates • Science 49%

crc_risk_bn • Science 57%

Colorectal cancer risk mapping through Bayesian Networks