graphical-models

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py-why /dowhy

Star8k

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

UpdatedFeb 18, 2026
Python

pgmpy /pgmpy

Sponsor

Star3.2k

Python library for Causal AI

python simulation graphical-models bayesian-networks hacktoberfest causal-inference causal-models synthetic-data probabilistic-inference mixed-data causal-discovery causal-effect causal-identification causal-prediction causal-validation

UpdatedFeb 20, 2026
Python

thu-ml /zhusuan

Star2.2k

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

deep-learning probabilistic-programming graphical-models bayesian-inference generative-models

UpdatedDec 17, 2022
Python

FranxYao /Deep-Generative-Models-for-Natural-Language-Processing

Star395

DGMs for NLP. A roadmap.

natural-language-processing parsing decoding text-generation generative-text generative-model graphical-models mcmc language-model generative-adversarial-networks variational-inference markov-chain-monte-carlo latent-variable-models normalizing-flows structured-prediction discrete-structures generative-models variational-autoencoders approximate-inference gradient-estimation

UpdatedDec 12, 2022

autonlab /auton-survival

Star360

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

python data-science machine-learning deep-learning regression survival-analysis graphical-models causal-inference time-to-event reliability-analysis counterfactual-inference

UpdatedApr 4, 2024
Python

SPFlow /SPFlow

Star309

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

machine-learning deep-learning spn graphical-models mixture-model tensorflow-models sum-product-networks probabilistic-circuits

UpdatedFeb 20, 2026
Python

skggm /skggm

Star248

Scikit-learn compatible estimation of general graphical models

machine-learning scikit-learn ensemble-learning graphical-models covariance-matrix nonparametric gaussian-graphical-models graphical-lasso rank-correlation precision-matrix general-graphical-models skggm concentration-graph

UpdatedJun 14, 2025
Python

adityadua24 /robopy

Star228

Robopy is a python port for Robotics Toolbox in Matlab created by Peter Corke

python robotics kinematics transformations inverse-kinematics vtk graphical-models robotics-toolbox

UpdatedFeb 10, 2021
Python

eclipse-glsp /glsp

Star227

Graphical language server platform for building web-based diagram editors

diagram eclipse protocol vscode graphical-models lsp lsp-server theia-extension theia sprotty diagram-editors glsp

UpdatedFeb 19, 2026
TypeScript

jeff-regier /Celeste.jl

Star187

Scalable inference for a generative model of astronomical images

astronomy graphical-models bayesian-inference astronomical-catalogs variational-inference astronomical-images

UpdatedSep 18, 2021
Jupyter Notebook

krashkov /Belief-Propagation

Star183

Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

graph-algorithms graphical-models message-passing sum-product belief-propagation factor-graph loopy-belief-propagation max-product

UpdatedSep 10, 2019
Jupyter Notebook

Mogeng /IOHMM

Star175

Input Output Hidden Markov Model (IOHMM) in Python

python machine-learning time-series scikit-learn supervised-learning semi-supervised-learning sequence-to-sequence graphical-models unsupervised-learning hidden-markov-model statsmodels linear-models sequence-labeling

UpdatedJan 14, 2026
Python

QuantumLeaps /qm

Star168

"Low ceremony" graphical modeling and code generation tool based on QP frameworks and Hierarchical State Machines (UML Statecharts)

windows macos linux fsm code-generator state-machine statechart uml embedded-systems object-oriented free code-generation graphical-models modeling-tool state-diagram uml-state-machine hierarchical-state-machine qp samek qm-modeling

UpdatedFeb 14, 2026
Shell

MarineRoboticsGroup /dcsam

Star156

Factored inference for discrete-continuous smoothing and mapping.

localization cpp mapping optimization graphical-models bayesian-inference slam gtsam factor-graph hybrid-models

UpdatedFeb 12, 2025
C++

IngoScholtes /pathpy

Star146

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

python data machine-learning data-mining graph analysis model-selection networks temporal-networks graphical-models pathways network-analysis sequential-data multi-order temporal-correlations

UpdatedMay 2, 2020
Python

kevinsbello /dagma

Star140

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