causal-models

Here are 134 public repositories matching this topic...

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.

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

Updated Aug 23, 2026
Python

pgmpy / pgmpy

Sponsor

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Python Toolkit for Causal and Probabilistic Reasoning

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

Updated Aug 19, 2026
Python

mckinsey / causalnex

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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

Updated Aug 10, 2026
Python

FenTechSolutions / CausalDiscoveryToolbox

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

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

Updated Oct 13, 2025
Python

BiomedSciAI / causallib

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A Python package for modular causal inference analysis and model evaluations

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

Updated May 26, 2026
Python

jvpoulos / causal-ml

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

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

Updated Nov 23, 2022

erdogant / bnlearn

Sponsor

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

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

Updated Aug 23, 2026
Jupyter Notebook

cdt15 / lingam

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Python package for causal discovery based on LiNGAM.

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

Updated Jul 22, 2026
Python

DataCanvasIO / YLearn

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

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

Updated Jun 28, 2025
Python

msuzen / looper

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

Updated Aug 1, 2026

TimeLovercc / Awesome-Graph-Causal-Learning

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A list of Graph Causal Learning materials.

machine-learning deep-learning causal-inference causal-models graph-neural-networks

Updated Jan 24, 2025

paul-krug / pytorch-tcn

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(Realtime) Temporal Convolutions in PyTorch

realtime causal-inference causal causal-models temporal-convolutional-networks streaming-inference realtime-neural-network

Updated Apr 7, 2025
Python

OscarEngelbrektson / SyntheticControlMethods

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A Python package for causal inference using Synthetic Controls

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

Updated Jan 25, 2024
Python

declare-lab / RECCON

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

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

Updated Nov 26, 2022
Python

uhlerlab / causaldag

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

inference causality causal-inference causal-models causal-dags

Updated Apr 12, 2023
JavaScript

JackHCC / Awesome-Uplift-Model

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🛠 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-models uplift-modeling causal-machine-learning

Updated Mar 25, 2023
Jupyter Notebook

mikenguyen13 / data_analysis

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Streamline a data analysis process. A book on data analysis, causal inference, and econometrics, written for readers with little to no prior background who want to develop both statistical intuition and practical R skills.