Projects in Awesome Lists tagged with causal-models

https://github.com/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.

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

Last synced: 12 Dec 2025

https://github.com/microsoft/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.

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

Last synced: 02 Apr 2025

https://github.com/pgmpy/pgmpy

Python Library for Causal and Probabilistic Modeling using Bayesian Networks

bayesian-networks causal-discovery causal-identification causal-inference causal-models causal-validation mixed-data probabilistic-inference python simulation synthetic-data

Last synced: 15 May 2025

https://github.com/quantumblacklabs/causalnex

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

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

Last synced: 17 Aug 2025

https://github.com/mckinsey/causalnex

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

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

Last synced: 12 Dec 2025

https://github.com/fentechsolutions/causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

algorithm causal-discovery causal-inference causal-models causality graph graph-structure-recovery inference machine-learning python toolbox

Last synced: 15 May 2025

https://github.com/FenTechSolutions/CausalDiscoveryToolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

algorithm causal-discovery causal-inference causal-models causality graph graph-structure-recovery inference machine-learning python toolbox

Last synced: 26 Mar 2025

https://github.com/biomedsciai/causallib

A Python package for modular causal inference analysis and model evaluations

causal causal-inference causal-models causality data-science machine-learning ml

Last synced: 14 May 2025

https://github.com/BiomedSciAI/causallib

A Python package for modular causal inference analysis and model evaluations

causal causal-inference causal-models causality data-science machine-learning ml

Last synced: 27 Mar 2025

https://github.com/jvpoulos/causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

causal-discovery causal-inference causal-learning causal-models counterfactual counterfactual-learning deep-learning estimating-treatment-effects heterogeneous-treatment-effects machine-learning paper-list randomized-controlled-trials representation-learning treatment-effects

Last synced: 29 Mar 2025

https://github.com/erdogant/bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

bayesian-inference causal causal-models causal-networks causality-analysis dag directed-acyclic-graph machine-learning parameter-learning python sampling-methods structure-learning

Last synced: 14 May 2025

https://github.com/cdt15/lingam

Python package for causal discovery based on LiNGAM.

causal-discovery causal-inference causal-models causality causality-analysis lingam machine-learning python

Last synced: 14 Dec 2025

https://github.com/datacanvasio/ylearn

YLearn, a pun of "learn why", is a python package for causal inference

causal-discovery causal-inference causal-models causality causality-algorithms causality-analysis policy-learning uplift uplift-modeling

Last synced: 16 May 2025

https://github.com/DataCanvasIO/YLearn

YLearn, a pun of "learn why", is a python package for causal inference

causal-discovery causal-inference causal-models causality causality-algorithms causality-analysis policy-learning uplift uplift-modeling

Last synced: 17 Aug 2025

https://github.com/msuzen/looper

A resource list for causality in statistics, data science and physics

bayesian-inference causal causal-discovery causal-impact causal-inference causal-machine-learning causal-models causal-networks causality causality-algorithms causality-analysis causation data-science machine-learning meta-learning physics statistical-inference statistical-mechanics statistical-physics statistics

Last synced: 25 Dec 2025

https://github.com/declare-lab/reccon

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

bert-model causal-inference causal-models causal-spans causality conversations dataset dialogue-generation dialogue-systems emotion emotion-cause emotion-cause-pair-extraction emotion-recognition emotion-recognition-in-conversation emotion-tasks inference natural-language-inference reasoning roberta

Last synced: 23 Jul 2025

https://github.com/OscarEngelbrektson/SyntheticControlMethods

A Python package for causal inference using Synthetic Controls

causal-inference causal-models causality causality-analysis counterfactual econometrics package policy-evaluation program-evaluation python synthetic-control

Last synced: 06 May 2025

https://github.com/uhlerlab/causaldag

Python package for the creation, manipulation, and learning of Causal DAGs

causal-dags causal-inference causal-models causality inference

Last synced: 15 Mar 2025

https://github.com/maxwshen/iap-cidl

Causal Inference & Deep Learning, MIT IAP 2018

causal-models causality inference notes

Last synced: 13 Jul 2025

https://github.com/felixleopoldo/benchpress

Scalable open-source software to run, develop, and benchmark causal discovery algorithms

bayesian-networks benchmarking causal-discovery causal-models causality graphical-models markov-networks reproducible-research snakemake-workflow structure-learning

Last synced: 04 Oct 2025

https://github.com/saezlab/carnival

CAusal Reasoning for Network Identification with integer VALue programming in R

causal-models footprints integer-linear-programming pathway-enrichment-analysis r

Last synced: 13 Oct 2025

https://gitlab.com/agrumery/aGrUM

aGrUM is a C++ library designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes.

artificial-intelligence bayesian-network causal-inference causal-models causality cpp20 credal-network explainable-ai influence-diagram machine-learning-algorithms markov-network parallel-algorithm probabilistic-classifiers probabilistic-graphical-models probabilistic-models python python3 statistical-learning structural-learning

Last synced: 07 Oct 2025

https://github.com/JackHCC/Awesome-Uplift-Model

🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】

causal-inference causal-machine-learning causal-models uplift-modeling

Last synced: 17 Sep 2025

https://github.com/santikka/causaleffect

causaleffect: R package for identifying causal effects.

causal-inference causal-models causality-algorithms directed-acyclic-graph graphs identifiability identification igraph r

Last synced: 08 Apr 2025

https://github.com/krassowski/jupyterlab-dagitty

JupyterLab renderer of dagitty causal diagrams

causal-inference causal-models directed-acyclic-graph ipython-display irkernel jupyterlab-extension

Last synced: 13 Apr 2025

https://github.com/idsia/credici

Credici: Credal Inference for Causal Inference

causal-inference causal-models causality credal imprecise-probability probabilistic-graphical-models

Last synced: 09 Sep 2025

https://github.com/frankaging/interchange-intervention-training

The codebase for Inducing Causal Structure for Interpretable Neural Networks

causal-models compositional-generalization generalization interventions

Last synced: 05 Aug 2025

https://github.com/alan-turing-institute/causal-cyber-defence

This repository contains glue-code necessary to run dynamic Causal Bayesian optimisation within the Yawning Titan cyber-simulation environment.

bayesian-optimization causal-inference causal-models causality cybersecurity decision-making-algorithms decision-making-under-uncertainty dynamics gym-environment time-series

Last synced: 05 May 2025

https://github.com/santikka/cfid

cfid: R package for identifying counterfactuals.

causal-inference causal-models causality-algorithms counterfactual counterfactuals directed-acyclic-graph identifiability

Last synced: 05 Oct 2025

https://github.com/santikka/dosearch

dosearch: R Package for Identifying General Causal Queries

c-plus-plus causal-inference causal-models causality causality-algorithms directed-acyclic-graph graphs labeled-graphs r

Last synced: 01 Apr 2025

https://github.com/jbris/synthetic-control-pymc

Tutorials for the synthetic control method for causal inference using PyMC

bayesian-inference bayesian-models bayesian-statistics causal-discovery causal-inference causal-modeling causal-modelling causal-models causality causality-algorithms causality-analysis pymc python synthetic-control synthetic-control-method

Last synced: 02 Mar 2025

https://github.com/leo-ware/pqp

A high-performance implementation of Shpitser's ID algorithm for causal identification in Rust

causal-identification causal-inference causal-models

Last synced: 11 Jun 2025

https://github.com/pcbrendel/multibias

R Package for Multi-Bias Analysis in Causal Inference

causal-inference causal-models epidemiology r

Last synced: 22 Oct 2025

https://github.com/anikaliu/dilicascades_app

Time-concordant event cascades in the pathogenesis of adverse hepatic effects derived using transcriptomics and histopathology data from longitudinal studies in rats.

causal-models dili time-concordance time-series-analysis toxicogenomics

Last synced: 31 Aug 2025