bayesian-networks

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py-why /dowhy

Star7.4k

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.

data-science machine-learning python3 graphical-models causality bayesian-networks causal-inference treatment-effects causal-models do-calculus causal-machine-learning

UpdatedMar 19, 2025
Python

pgmpy /pgmpy

Sponsor

Star2.8k

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

python inference simulations bayesian-networks causal-inference structure-learning causal-discovery causal-identification

UpdatedMar 20, 2025
Python

afshinea /stanford-cs-221-artificial-intelligence

Star2.7k

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

data-science constraint-satisfaction-problem artificial-intelligence cheatsheet a-star markov-decision-processes bayesian-networks

UpdatedDec 17, 2019

google /neural-tangents

Star2.3k

Fast and Easy Infinite Neural Networks in Python

kernel neural-networks gradient-descent bayesian-inference gaussian-processes bayesian-networks deep-networks gradient-flow jax infinite-networks training-dynamics neural-tangents kernel-computation

UpdatedMar 1, 2024
Jupyter Notebook

mckinsey /causalnex

Star2.3k

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

data-science machine-learning bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex

UpdatedJun 26, 2024
Python

kumar-shridhar /PyTorch-BayesianCNN

Star1.5k

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

python pytorch bayesian-network image-recognition convolutional-neural-networks bayesian-inference bayes bayesian-networks variational-inference bayesian-statistics bayesian-neural-networks variational-bayes bayesian-deep-learning pytorch-cnn bayesian-convnets bayes-by-backprop aleatoric-uncertainties

UpdatedApr 19, 2024
Python

microsoft /browsecloud

Star148

A web app to create and browse text visualizations for automated customer listening.

visualization nlp text-classification text-processing bayesian-networks counting-grids

UpdatedOct 27, 2023
TypeScript

aimclub /BAMT

Star126

Repository of a data modeling and analysis tool based on Bayesian networks

bayesian-networks structure-learning synthetic-data mixed-data parameters-learning

UpdatedMar 12, 2025
Python

paulgovan /BayesianNetwork

Star121

Bayesian Network Modeling and Analysis

r learning-algorithm network-measures bayesian-networks

UpdatedNov 25, 2024
HTML

amidst /toolbox

Star119

A Java Toolbox for Scalable Probabilistic Machine Learning

data-science machine-learning bayesian-methods graphical-models bayesian-networks latent-variable-models streaming-data

UpdatedSep 21, 2023
Java

kevinsbello /dagma

Star114

A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"

graphical-models bayesian-networks structure-learning dags causal-discovery neurips-2022