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pgmpy
pgmpy

Python Toolkit for Causal and Probabilistic Reasoning

448K 3K 1K
py-why
dowhy

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.

143K 8K 1K
ITMO-NSS-team
bamt

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

5K 133 23
davenza
pybnesian

PyBNesian is a Python package that implements Bayesian networks.

4K 49 13
ropeless
compiled-knowledge

CompiledKnowledge is a Python package for compiling and querying discrete probabilistic graphical models.

4K 0 0
google
neural-tangents

Fast and Easy Infinite Neural Networks in Python

3K 2K 241
kevinsbello
dagma

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"

3K 145 27
ITMO-NSS-team
bamt-light

data modeling and analysis tool based on Bayesian networks

541 133 23
causalincentives
pycid

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

526 113 23
larslorch
dibs-lib

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

396 53 14
pgmpy
pgmpy-rcr

Python Toolkit for Causal and Probabilistic Reasoning

236 3K 1K
kevinsbello
iscan-dag

Implementation of the iSCAN algorithm for detecting distribution shifts

225 5 2
felixleopoldo
cstrees

CSlearn: a package for context-specific causal models

177 4 0
ptorrijos99
scikit-bayes

A Python package for AnDE classifiers.

154 2 0
jluttine
junctiontree

The junction tree algorithm for (discrete) factor graphs

120 18 5
macks22
daft-builder

Wrapper library on daft that provides a builder interface for rendering probabilistic graphical models (PGMs).

117 2 0
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