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: 12 Dec 2025

https://github.com/uber/causalml

Uplift modeling and causal inference with machine learning algorithms

causal-inference incubation machine-learning uplift-modeling

Last synced: 05 Feb 2026

https://github.com/plasma-umass/coz

Coz: Causal Profiling

causal-inference optimization performance-analysis performance-engineering profiler

Last synced: 15 Feb 2026

https://github.com/kanaries/rath

Next generation of automated data exploratory analysis and visualization platform.

augmented-analytics automated-data-analysis automated-visualization autovis causal-discovery causal-inference causality data-analysis data-exploration data-visualization datamining eda k6s kanaries machine-learning tableau tableau-alternative visualization

Last synced: 14 May 2025

https://github.com/Kanaries/Rath

Next generation of automated data exploratory analysis and visualization platform.

augmented-analytics automated-data-analysis automated-visualization autovis causal-discovery causal-inference causality data-analysis data-exploration data-visualization datamining eda k6s kanaries machine-learning tableau tableau-alternative visualization

Last synced: 04 Apr 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: 13 Dec 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: 26 Mar 2025

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: 14 May 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://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: 04 Apr 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: 09 Jan 2026

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/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: 28 Dec 2025

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: 16 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: 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/grf-labs/grf

Generalized Random Forests

causal-forest causal-inference econometrics machine-learning random-forest statistics

Last synced: 21 Oct 2025

https://github.com/huawei-noah/trustworthyai

Trustworthy AI related projects

causal-discovery causal-inference causality graph independence-tests machine-learning python statistics structure

Last synced: 14 May 2025

https://github.com/huawei-noah/trustworthyAI

Trustworthy AI related projects

causal-discovery causal-inference causality graph independence-tests machine-learning python statistics structure

Last synced: 01 Apr 2025

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: 26 Apr 2025

https://github.com/brylevkirill/notes

Learn about Machine Learning and Artificial Intelligence

artificial-intelligence bayesian-inference causal-inference deep-learning information-retrieval knowledge-graph knowledge-representation machine-learning natural-language-processing probabilistic-programming question-answering reasoning recommender-systems reinforcement-learning

Last synced: 27 Mar 2025

https://github.com/carverauto/serviceradar

Zero-trust Opensource Network Management and Observability Platform

armis causal-discovery causal-inference deck-gl erts homelab monitoring-tool netbox network-monitoring-tool network-scanning observability ocsf ocsf-schema otel ubiquiti wasi wasm wazero zero-trust

Last synced: 01 Apr 2026

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/maks-sh/scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

causal-inference causality individual-treatment-effects machine-learning net-lift true-lift uplift uplift-modeling uplift-modelling

Last synced: 06 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/willianfuks/tfcausalimpact

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

causal-inference causalimpact python tensorflow-probability

Last synced: 07 Oct 2025

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: 26 Apr 2025

https://github.com/doubleml/doubleml-for-py

DoubleML - Double Machine Learning in Python

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

Last synced: 14 May 2025

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: 29 Mar 2025

https://github.com/DoubleML/doubleml-for-py

DoubleML - Double Machine Learning in Python

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

Last synced: 17 Aug 2025

https://github.com/fehiepsi/rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

bayesian-statistics causal-inference laplace-approximation markov-chain-monte-carlo numpy python variational-inference

Last synced: 05 Apr 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/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: 27 Jun 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/pgmpy/pgmpy_tutorials

Tutorials on Causal Inference and pgmpy

causal-discovery causal-graphs causal-identification causal-inference causal-prediction pgmpy python-notebooks

Last synced: 12 Aug 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/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: 16 Jan 2026

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: 24 Mar 2025

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: 01 May 2025

https://github.com/biomedia-mira/deepscm

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

causal-inference counterfactuals deep-learning normalizing-flows variational-autoencoders

Last synced: 17 Sep 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/mschauer/CausalInference.jl

Causal inference, graphical models and structure learning in Julia

causal-inference hacktoberfest julia

Last synced: 04 May 2025

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

Causal inference, graphical models and structure learning in Julia

causal-inference hacktoberfest julia

Last synced: 25 Oct 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://causal-machine-learning.github.io/kdd2021-tutorial/

EconML/CausalML KDD 2021 Tutorial

causal-inference machine-learning

Last synced: 12 May 2025

https://github.com/paul-krug/pytorch-tcn

(Realtime) Temporal Convolutions in PyTorch

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

Last synced: 19 Jan 2026

https://github.com/apoorvalal/ding_causalinference_python

python implementation of Peng Ding's "First Course in Causal Inference"

causal-inference data-science

Last synced: 12 Apr 2025

https://github.com/juliadynamics/associations.jl

Algorithms for quantifying associations, independence testing and causal inference from data.

associations causal-graphs causal-inference conditional-mutual-information cross-mapping distance-correlation entropy hacktoberfest independence-testing julia julia-language mutual-information network-inference partial-mutual-information predictive-asymmetry surrogate-data time-series transfer-entropy

Last synced: 11 Dec 2025

https://github.com/JuliaDynamics/Associations.jl

Algorithms for quantifying associations, independence testing and causal inference from data.

associations causal-graphs causal-inference conditional-mutual-information cross-mapping distance-correlation entropy hacktoberfest independence-testing julia julia-language mutual-information network-inference partial-mutual-information predictive-asymmetry surrogate-data time-series transfer-entropy

Last synced: 04 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/amaiya/causalnlp

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

causal-inference nlp

Last synced: 13 Apr 2025

https://github.com/doubleml/doubleml-for-r

DoubleML - Double Machine Learning in R

causal-inference data-science double-machine-learning econometrics machine-learning mlr3 r statistics

Last synced: 08 Apr 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: 08 Sep 2025

https://github.com/brycewang-stanford/Auto-Research-Skills

A curated hub of autonomous-research skills & agents — from idea to paper, on autopilot. | 自主科研技能与智能体精选库 —— 从灵感到论文全文，全程自动完成。

academic-research agent-skills ai-agents ai-scientist anthropic auto-research autonomous-agents awesome-list causal-inference claude claude-code data-analysis deep-research literature-review llm-agents machine-learning paper-writing reproducible-research research-automation scientific-computing

Last synced: 06 Sep 2026

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: 16 May 2025

https://github.com/bernardodionisi/differences

difference-in-differences in Python

causal-inference difference-in-differences econometrics panel-data

Last synced: 29 Jun 2026

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 Apr 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: 26 Apr 2025

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

[Experimental] Global causal discovery algorithms

causal-inference causality graphs python structure-learning

Last synced: 13 Apr 2025

https://github.com/igerber/diff-diff

A Python library for Difference-in-Differences (DiD) causal inference analysis with an sklearn-like API and statsmodels-style outputs.

analytics causal-inference data-science difference-in-differences econometrics economics

Last synced: 20 Apr 2026

https://github.com/vdblm/CausalPFN

CausalPFN: Amortized Causal Effect Estimation via In-Context Learning

causal-inference causalpfn foundation-models machine-learning

Last synced: 29 Jun 2026

https://github.com/remlapmot/cibookex-r

Causal Inference: What If. R and Stata code for Exercises

causal-inference causal-inference-book what-if

Last synced: 02 Jul 2025

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

Structural causal models with Bayesian estimation and interventional simulation via a concise DSL.

bayesian-inference causal-inference

Last synced: 07 Jul 2026

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: 01 Apr 2026

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: 17 Sep 2025

https://github.com/mmethodz/dreamgraph

DreamGraph is a graph-first cognitive layer (graph → MCP → CLI → dashboard → extension) that builds a persistent knowledge graph to reason, validate changes, and generate docs.

agent-memory ai-agents autonomous-agents causal-discovery causal-inference claude cognitive-architecture cursor dream-cycle knowledge-graph machine-learning mcp mcp-server model-context-protocol openclaw-mcp security-scanner system-architecture temporal-knowledge-graph temporal-reasoning vscode

Last synced: 27 May 2026

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: 21 Jul 2025

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: 21 Jul 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: 29 Dec 2025

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

Policy learning via doubly robust empirical welfare maximization over trees

causal-inference policy-learning

Last synced: 21 Oct 2025

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 Apr 2025

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: 13 Apr 2025

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: 17 Sep 2025

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: 06 Aug 2026

https://github.com/suwonglab/causalegm

A General Causal Inference Framework by Encoding Generative Modeling

causal-inference causal-machine-learning causality deep-generative-model generative-model treatment-effects

Last synced: 22 Oct 2025

https://github.com/almost-matching-exactly/dame-flame-python-package

A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data

causal-inference data-science econometrics machine-learning matching python

Last synced: 09 Apr 2026

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: 11 Mar 2026

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: 07 Apr 2025

https://github.com/andrewtavis/causeinfer

Machine learning based causal inference/uplift in Python

ab-testing causal-inference causality data-analysis data-science data-visualization dataset econometrics machine-learning open-source python python3 statistics treatment-effects uplift uplift-modeling

Last synced: 11 Sep 2025

https://github.com/timmens/causal-forest

Implements the Causal Forest algorithm formulated in Athey and Wager (2018).

causal-inference econometrics machine-learning

Last synced: 24 Dec 2025

https://github.com/tlverse/tlverse-handbook

🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook

biostatistics causal-data-science causal-inference causal-machine-learning data-science machine-learning statistics targeted-learning tlverse

Last synced: 19 Feb 2026

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: 18 May 2026

https://github.com/Open-All-Scale-Causal-Engine/OpenASCE

OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, causal effect estimation and attribution algorithms all in one package.

causal-inference causality machine-learning treatment-effects

Last synced: 17 Sep 2025

https://github.com/ericmjl/causality

In which I play with the ideas surrounding causality

bayesian causal-inference causality

Last synced: 13 Apr 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: 04 Apr 2025

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: 17 Mar 2026

https://github.com/vdblm/causalpfn

CausalPFN: Amortized Causal Effect Estimation via In-Context Learning

causal-inference causalpfn foundation-models machine-learning

Last synced: 02 Sep 2025

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

Causal Inference in Python

causal-inference did panel sdid

Last synced: 05 Mar 2026

https://github.com/forestry-labs/causaltoolbox

bayesian-additive-regression-trees causal-inference inference interpretability machine-learning random-forest treatment-effects

Last synced: 22 Apr 2025

https://github.com/Zizka-ai/ZizkaDB

Operational Database for AI Agents Provide causality lineage, DAG, and State Replay , build to make AI Agents auditable Reliable and EU AI ACT compliant

agentic-database ai-agents antigravity ast causal-inference causal-lineage-tracking-for-ai-agent claude-code crewai database-for-ai-agents developer-tools eu-ai-act eu-ai-act-compliance europe knowledge-graph langchain leiden mcp skills vector-database vector-embeddings

Last synced: 27 Aug 2026

https://github.com/juliadiffindiffs/diffindiffs.jl

A suite of Julia packages for difference-in-differences

causal-inference difference-in-differences econometrics economics empirical-research event-studies julia

Last synced: 13 Apr 2025

https://github.com/sdfordham/pysyncon

A python module for the synthetic control method

augsynth causal-inference synth synthetic-control-method

Last synced: 27 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