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causal-models

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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 26, 2025
Python

pgmpy / pgmpy

Python library for causal inference. Supports causal discovery, identification, effect estimation, prediction, and simulation with a scikit-learn style API.

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

Updated Aug 31, 2025
Python

mckinsey / causalnex

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 Jun 26, 2024
Python

FenTechSolutions / CausalDiscoveryToolbox

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 Apr 2, 2024
Python

BiomedSciAI / causallib

A Python package for modular causal inference analysis and model evaluations

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

Updated Apr 6, 2025
Python

jvpoulos / causal-ml

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

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 31, 2025
Jupyter Notebook

cdt15 / lingam

Python package for causal discovery based on LiNGAM.

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

Updated Aug 28, 2025
Python

DataCanvasIO / YLearn

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

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

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

Updated Jul 28, 2025

TimeLovercc / Awesome-Graph-Causal-Learning

A list of Graph Causal Learning materials.

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

Updated Jan 24, 2025

OscarEngelbrektson / SyntheticControlMethods

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

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

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

inference causality causal-inference causal-models causal-dags

Updated Apr 12, 2023
JavaScript

paul-krug / pytorch-tcn

(Realtime) Temporal Convolutions in PyTorch

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

Updated Apr 7, 2025
Python

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-models uplift-modeling causal-machine-learning

Updated Mar 25, 2023
Jupyter Notebook

qitianwu / GraphOOD-EERM

The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"

pytorch causal-models graph-neural-networks out-of-distribution-generalization

Updated Nov 24, 2022
Python

maxwshen / iap-cidl

Causal Inference & Deep Learning, MIT IAP 2018

notes inference causality causal-models

Updated Jan 18, 2018

mikenguyen13 / data_analysis

Streamline a data analysis process

data-science machine-learning r statistics guide statistical-learning statistical-methods data-visualization datascience statistical-analysis statistical-inference machinelearning causality causal-inference guidebook statistics-course causal-models causal-analysis

Updated Jun 5, 2025
HTML

rsyi / pylift

Uplift modeling and evaluation library. Actively maintained pypi version.

causal-inference causal-models uplift-modeling uplift model-uplift

Updated Dec 28, 2023
Python

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