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Projects in Awesome Lists tagged with causal-inference

A curated list of projects in awesome lists tagged with causal-inference .

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: 06 Jan 2025

https://microsoft.github.io/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: 03 Oct 2024

https://github.com/uber/causalml

Uplift modeling and causal inference with machine learning algorithms

causal-inference incubation machine-learning uplift-modeling

Last synced: 06 Jan 2025

https://github.com/py-why/EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

causal-inference causality econometrics economics machine-learning treatment-effects

Last synced: 30 Oct 2024

https://github.com/py-why/econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

causal-inference causality econometrics economics machine-learning treatment-effects

Last synced: 06 Jan 2025

https://matheusfacure.github.io/python-causality-handbook/

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

causal-inference causality data-science econometrics harmless-econometrics impact-estimation python

Last synced: 05 Nov 2024

https://github.com/matheusfacure/python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

causal-inference causality data-science econometrics harmless-econometrics impact-estimation python

Last synced: 07 Jan 2025

https://github.com/pgmpy/pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

bayesian-networks causal-discovery causal-identification causal-inference inference python simulations structure-learning

Last synced: 06 Jan 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: 09 Jan 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: 20 Nov 2024

https://github.com/jrfiedler/causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causal-inference causality data-science python

Last synced: 05 Jan 2025

https://github.com/py-why/causal-learn

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

causal causal-discovery causal-inference causal-representation-learning causality confounder graph hidden-causal independence-tests python statistics structure tetrad time-series

Last synced: 08 Jan 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: 03 Jan 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: 30 Oct 2024

https://github.com/pymc-labs/CausalPy

A Python package for causal inference in quasi-experimental settings

causal-inference pymc quasi-experimental quasi-experiments

Last synced: 11 Nov 2024

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: 07 Jan 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: 30 Oct 2024

https://github.com/WillianFuks/tfcausalimpact

Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.

causal-inference causalimpact python tensorflow-probability

Last synced: 11 Nov 2024

https://github.com/fulifeng/Causal_Reading_Group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

causal-inference causality deep-learning machine-learning recommender-system

Last synced: 01 Nov 2024

https://github.com/malcolmbarrett/ggdag

:arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)

causal-inference dag ggplot-extension r rstats

Last synced: 07 Oct 2024

https://github.com/r-causal/ggdag

:arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)

causal-inference dag ggplot-extension r rstats

Last synced: 25 Oct 2024

https://github.com/Minyus/causallift

CausalLift: Python package for causality-based Uplift Modeling in real-world business

causal-impact causal-inference causality counterfactual econometrics propensity-score propensity-scores uplift uplift-modeling

Last synced: 29 Oct 2024

https://github.com/zalando/expan

Open-source Python library for statistical analysis of randomised control trials (A/B tests)

ab-testing abtest abtesting causal-inference experimentation python statistical-analysis statistics

Last synced: 12 Nov 2024

https://github.com/autonlab/auton-survival

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

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

Last synced: 12 Nov 2024

https://github.com/mschauer/causalinference.jl

Causal inference, graphical models and structure learning in Julia

causal-inference hacktoberfest julia

Last synced: 08 Jan 2025

https://github.com/mschauer/CausalInference.jl

Causal inference, graphical models and structure learning in Julia

causal-inference hacktoberfest julia

Last synced: 13 Nov 2024

https://causal-machine-learning.github.io/kdd2021-tutorial/

EconML/CausalML KDD 2021 Tutorial

causal-inference machine-learning

Last synced: 18 Nov 2024

https://github.com/amaiya/causalnlp

CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.

causal-inference nlp

Last synced: 08 Jan 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: 27 Oct 2024

https://github.com/ngreifer/weightit

WeightIt: an R package for propensity score weighting

causal-inference inverse-probability-weights observational-study propensity-scores r

Last synced: 06 Jan 2025

https://github.com/ngreifer/WeightIt

WeightIt: an R package for propensity score weighting

causal-inference inverse-probability-weights observational-study propensity-scores r

Last synced: 11 Nov 2024

https://github.com/sb-ai-lab/hypex

Fast and customizable framework for automatic and quick Causal Inference in Python

ab-testing causal-inference causalinference data-science faiss kaggle matching python statistics

Last synced: 04 Jan 2025

https://github.com/renovamen/pcalg-py

Implement PC algorithm in Python | PC 算法的 Python 实现

bayesian-network causal-inference pc-algorithm

Last synced: 10 Nov 2024

https://github.com/d909b/drnet

💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.

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

Last synced: 28 Nov 2024

https://github.com/grf-labs/policytree

Policy learning via doubly robust empirical welfare maximization over trees

causal-inference policy-learning

Last synced: 11 Nov 2024

https://github.com/yongduosui/CAL

[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.

causal-inference graph-neural-networks out-of-distribution

Last synced: 28 Nov 2024

https://github.com/ngreifer/cobalt

Covariate Balance Tables and Plots - An R package for assessing covariate balance

causal-inference propensity-scores r

Last synced: 07 Jan 2025

https://github.com/rdpackages/rdrobust

Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.

causal-inference program-evaluation regression-discontinuity-designs treatment-effects

Last synced: 11 Nov 2024

https://github.com/nredell/shapflex

An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model

causal-inference causal-networks causality ensemble feature-importance iml interpretable-machine-learning machine-learning package r r-package shap shapley shapley-value shapley-values

Last synced: 07 Nov 2024

https://github.com/neurodata/treeple

Scikit-learn compatible decision trees beyond those offered in scikit-learn

causal-inference causal-machine-learning cython decision-trees estimation machine-learning python random-forest scikit-learn

Last synced: 04 Jan 2025

https://github.com/andrewheiss/evalf22.classes.andrewheiss.com

📊 🌐 🧑‍🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto

causal-inference program-evaluation quarto r teaching-materials

Last synced: 21 Dec 2024

https://github.com/py-why/dodiscover

[Experimental] Global causal discovery algorithms

causal-inference causality graphs python structure-learning

Last synced: 08 Nov 2024

https://github.com/google/trimmed_match

This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.

abtest causal-inference experimental-design geo-experiments iroas robust-statistics

Last synced: 13 Nov 2024

https://github.com/ck37/varimpact

Variable importance through targeted causal inference, with Alan Hubbard

causal-inference cv-tmle observational-study targeted-learning tmle variable-importance

Last synced: 11 Nov 2024

https://github.com/ericmjl/causality

In which I play with the ideas surrounding causality

bayesian causal-inference causality

Last synced: 14 Oct 2024

https://github.com/bytedance/causalmatch

CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.

causal-inference econometrics machine-learning

Last synced: 08 Jan 2025

https://github.com/y0-causal-inference/y0

❓y0 (pronounced "why not?") is for causal inference in Python

causal-inference structural-causal-model symbolic-math

Last synced: 05 Nov 2024

https://github.com/jrfiedler/causal_inference_julia_code

Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causal-inference causality data-science julia julialang

Last synced: 12 Oct 2024

https://github.com/amazon-science/azcausal

Causal Inference in Python

causal-inference did panel sdid

Last synced: 09 Jan 2025

https://github.com/sdfordham/pysyncon

A python module for the synthetic control method

augsynth causal-inference synth synthetic-control-method

Last synced: 11 Nov 2024

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: 30 Sep 2024

https://github.com/callmespring/CausalRL

Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)

a-b-testing causal-inference reinforcement-learning

Last synced: 11 Nov 2024

https://github.com/kaz-yos/regmedint

R implementation of effect measure modification-extended regression-based closed-formula causal mediation analysis

causal-inference mediation-analysis

Last synced: 12 Nov 2024

https://github.com/andrewheiss/evalsp23.classes.andrewheiss.com

📊 🌐 🧑‍🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto

causal-inference program-evaluation quarto r teaching-materials

Last synced: 21 Dec 2024

https://github.com/andrewheiss/evalsp20.classes.andrewheiss.com

🎓 GSU MPA/MPP course on program evaluation and causal inference

academic blogdown causal-inference course r

Last synced: 21 Dec 2024

https://github.com/jd-opensource/utboost

A powerful tree-based uplift modeling system.

causal-inference descision-tree gbm gradient-boosting uplift-modeling

Last synced: 07 Nov 2024

https://github.com/csinva/matching-with-gans

Matching in GAN latent space for better bias benchmarking and semantic image editing. 👶🏻🧒🏾👩🏼‍🦰👱🏽‍♂️👴🏾

ai bias causal-inference computer-vision deep-learning disentanglement facial-recognition fairness gan ml neural-network python3 pytorch stylegan2

Last synced: 23 Oct 2024

https://github.com/benkeser/drtmle

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

causal-inference ensemble-learning iptw statistical-inference tmle

Last synced: 16 Dec 2024

https://github.com/targene/tmle.jl

A pure Julia implementation of the Targeted Minimum Loss-based Estimation

causal-inference double-robust julia machine-learning non-parametric-statistics statistics targeted-learning tmle

Last synced: 12 Oct 2024

https://github.com/rguo12/CIKM18-LCVA

Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

causal-inference network-embedding treatment-effects variational-autoencoder variational-inference

Last synced: 03 Nov 2024

https://github.com/nhejazi/txshift

:package: :game_die: R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling

causal-effects causal-inference censored-data machine-learning robust-statistics statistics stochastic-interventions stochastic-treatment-regimes targeted-learning treatment-effects variable-importance

Last synced: 16 Dec 2024

https://github.com/donydchen/causal_emotion

☯︎[ACMMM'22] Official PyTorch Implementation of Towards Unbiased Visual Emotion Recognition via Causal Intervention

acmmm2022 causal-inference causality confounding emotion-recognition facial-expression-recognition pytorch

Last synced: 09 Nov 2024

https://github.com/qyu-ai/reina

PySpark-based causal inference package.

big-data causal-inference machine-learning spark

Last synced: 02 Nov 2024

https://github.com/IyarLin/simMixedDAG

The simMixedDAG package enables simulation of "real life" datasets from DAGs

causal-inference causality dag r r-package simulation

Last synced: 25 Oct 2024

https://github.com/doubleml/doubleml-serverless

DoubleML-Serverless - Distributed Double Machine Learning with a Serverless Architecture

aws-lambda causal-inference data-science double-machine-learning econometrics machine-learning python scikit-learn serverless statistics

Last synced: 17 Nov 2024

https://github.com/nhejazi/medoutcon

:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects

causal-inference causal-machine-learning inverse-probability-weights machine-learning mediation-analysis r r-package stochastic-interventions targeted-learning treatment-effects

Last synced: 16 Dec 2024

https://github.com/andrewheiss/closing-backdoors-dags

Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data

causal-inference dags do-calculus inverse-probability-weights matching

Last synced: 21 Dec 2024

https://github.com/egap/theory_and_practice_of_field_experiments

'Caramba y zamba la cosa, que vivan los experimentos!' -from 'Me Gustan Los Estudiantes' by Violeta Parra

causal-inference egap evidence-based-policy experiments field-experiments measurement research-design statisics

Last synced: 11 Nov 2024

https://github.com/svmiller/post8000

POST 8000 (Foundations of Social Science Research for Public Policy) is a class I teach at Clemson University

causal-inference policy-analysis policy-audience regression statistics

Last synced: 09 Dec 2024

https://github.com/andrewheiss/evalsp24.classes.andrewheiss.com

📊 🌐 🧑‍🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto

causal-inference program-evaluation quarto r teaching-materials

Last synced: 21 Dec 2024

https://github.com/benlansdell/rdd

python code and jupyter notebooks to reproduce figures from our PLOS Computational Biology paper

causal-inference computational-neuroscience economics leaky-integrate-and-fire-model neural-network

Last synced: 29 Nov 2024