matteocourthoud/awesome-causal-inference

A curated list of causal inference libraries, resources, and applications.

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rguo12/awesome-causality-algorithms

An index of algorithms for learning causality with data

Size: 208 KB - Last synced at: about 9 hours ago - Pushed at: 5 months ago - Stars: 3,152 - Forks: 468

IbrahimJahwari/Sweden_Nuclear_Energy_Production

Empirical analysis of Sweden’s 2023 nuclear policy reform using a regression discontinuity design.

Language: R - Size: 2.92 MB - Last synced at: about 17 hours ago - Pushed at: about 18 hours ago - Stars: 0 - Forks: 0

IbrahimJahwari/Scholarship_Causal_Evaluation

Causal evaluation of scholarship program on Omani students' outcomes using Matching methods.

Language: R - Size: 329 KB - Last synced at: about 18 hours ago - Pushed at: about 18 hours ago - Stars: 0 - Forks: 0

rickmer-schulte/Pretrained-Causal-Adjust

Code for the ICML 2025 paper: "Adjustment for Confounding using Pre-Trained Representations"

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jordandeklerk/pyDiD

Python package implementing a variety of modern DiD and doubly robust DiD estimators with diagnostic tools and sensitivity tests

Language: Python - Size: 6.16 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

cjerzak/causalimages-software

causalimages: An R package for performing causal inference with image and image sequence data

Language: R - Size: 468 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 21 - Forks: 3

py-why/causal-learn

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

Language: Python - Size: 27 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1,377 - Forks: 217

tangxyw/RecSysPapers

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

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cdt15/lingam

Python package for causal discovery based on LiNGAM.

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m-clark/book-of-models

Spells for everyday living, also a book -- Models Demystified -- coming out in 2025.

Language: Python - Size: 151 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 68 - Forks: 15

banku50/inference-gateway

An open-source, high-performance gateway unifying multiple LLM providers, from local solutions like Ollama to major cloud providers such as OpenAI, Groq, Cohere, Anthropic, Cloudflare and DeepSeek.

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felice797/personal-sleep-study-rct

RCT design and analysis on pre-bedtime habits and sleep quality. Features robust standard errors, CATE analysis, multiple regression specifications, and reproducible R code.

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Zamir503/Random

<p align="center"> <img src="https://github.com/Chill-Astro/Random/blob/main/Random.ico" width="128px" height="128px" alt="Random Logo"></p><h1 align="center">Random v1.0</h1>Random is a lightweight console game made in C#. You have five attempts to guess the number, with hints to guide you along the way! 🎮✨## Key Features:- Extremely lig

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psychbruce/DPI

↔️ The Directed Prediction Index (DPI): Quantifying Relative Endogeneity of Outcome Versus Predictor Variables.

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y0-causal-inference/y0

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

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stscl/spEDM

Spatial Empirical Dynamic Modeling

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remlapmot/cibookex-r

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

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AashishPatil2001/coffee_causality

Data-driven analysis of coffee shop sales using correlation, regression, and causal inference. A Jupyter Book project exploring foot traffic, weather patterns, and business analytics.

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SpatLyu/EDMethods

Empirical Dynamic Modeling (EDM)

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Kuan-Liu-Lab/bayesmsm

An R package for Bayesian Marginal Structural Models

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Causal-LDA/TrialEmulation

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bowers-illinois-edu/bowershansen-CI-course

Source files for Jake and Ben and Tom's causal inference course materials

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nicomorga/ml-notebooks

📊 Building ML projects using Python, Scikit-learn & more.

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sb-ai-lab/HypEx

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

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gav888/BriDGE

R package BriDGE

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Flavio105/Actual_Phenomenon

# Actual_PhenomenonThis repository hosts an intelligent system for analyzing employee reimbursement invoices and includes a chatbot for easy querying. 🚀 Explore the API endpoints for invoice analysis and interactive chat functionalities. 💬

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matheusfacure/python-causality-handbook

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

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gregorsteiner/StaggeredSynthDiD

Synthetic DiD estimation in staggered adoption settings

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neurodata/treeple

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

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pcbrendel/multibias

R Package for Multi-Bias Analysis in Causal Inference

Language: R - Size: 10.2 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 2 - Forks: 0

station-10/awesome-marketing-machine-learning

A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more

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ahgroup/billings-high-dose-heterologous-public 📦

Code and data associated with Billings et al., "High dose inactivated influenza vaccine inconsistently improves heterologous antibody responses in an elderly human cohort", JID 2025.

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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.

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hknd23/DeepLearningCausal

functions to estimate the Conditional Average Treatment Effects (CATE) and Population Average Treatment Effects on the Treated (PATT)

Language: R - Size: 138 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 2 - Forks: 0

harveybc/predictor

Predictor that uses a configurable plugin-based predictive supervised learning model, to make forecasts for a configurable time horizon in a timeseries, using heterogeneus multivariate timeseries data as input, the input data needs to be aligned with the timeseries to be used as training signals. Includes 4 built-in deep-learning predictive models.

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DoubleML/doubleml-for-py

DoubleML - Double Machine Learning in Python

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annaguo-bios/fdcausal

An R Package for Average Causal Effect Estimation via the Front-Door Functional

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annaguo-bios/fd-methods

Implementing experiments in paper titled "Targeted Machine Learning for Average Causal Effect Estimation Using the Front-Door Functional"

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Kanaries/Rath

Next generation of automated data exploratory analysis and visualization platform.

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vdblm/CausalPFN

CausalPFN: Amortized Causal Effect Estimation via In-Context Learning

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guifrs/enem-irt-public-vs-private

Impact of public high-school background on ENEM 2017 scores, accounting for Item Response Theory (Python)

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hase3b/DiaCausal

DiaCausal: AI-driven causal analysis of diabetes risk factors.

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mckinsey/causalnex

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

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pgmpy/pgmpy

Python Library for Causal and Probabilistic Modeling using Bayesian Networks

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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.

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pymc-labs/CausalPy

A Python package for causal inference in quasi-experimental settings

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maks-sh/scikit-uplift

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

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mikenguyen13/data_analysis

Streamline a data analysis process

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paul-krug/pytorch-tcn

(Realtime) Temporal Convolutions in PyTorch

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priism-center/thinkCausal_dev

Point-and-click bartCause analysis and causal inference education

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RobinDenz1/simDAG

An R-Package to Simulate Simple and Complex (longitudinal) Data from a DAG and Associated Node Information

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ncn-foreigners/jointCalib

Repository for a small package for joint calibration of totals, quantiles and other metrics

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msuzen/looper

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

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Davidvandijcke/R3D

Implementation of Van Dijcke, David. "Regression Discontinuity Design with Distribution-Valued Outcomes." Manuscript.

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Kuan-Liu-Lab/causens

An R package for causal sensitivity analysis methods

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OscarEngelbrektson/SyntheticControlMethods

A Python package for causal inference using Synthetic Controls

Language: Python - Size: 69.8 MB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 185 - Forks: 55

nt-williams/lmtp

:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:

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c2d-usp/causal-reasoning

Language: Python - Size: 1.1 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

TARGENE/TMLE.jl

A Julia implementation of the Targeted Minimum Loss-based Estimation

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huawei-noah/trustworthyAI

Trustworthy AI related projects

Language: Python - Size: 10.3 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 1,045 - Forks: 234

vaijira/why-rs

Rust causal related tools.

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pietrolesci/memorisation-profiles

This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".

Language: Python - Size: 1.04 MB - Last synced at: about 9 hours ago - Pushed at: 3 months ago - Stars: 22 - Forks: 2

SUwonglab/CausalEGM

A General Causal Inference Framework by Encoding Generative Modeling

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shabdswaroopchalla/Counterfactual-variational-autoencoder-with-residual-networks

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uber/causalml

Uplift modeling and causal inference with machine learning algorithms

Language: Python - Size: 110 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 5,417 - Forks: 815

drganghe/program-evaluation

Open Course on Program Evaluation

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evenssalies/MSE

Statistical Evaluation Methods

Language: Stata - Size: 4.79 MB - Last synced at: 18 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

RobinDenz1/MatchTime

An R-Package to perform Time-Dependent Matching for Observational Data in Discrete and Continuous Time

Language: R - Size: 2.64 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0

imirzadeh/awesome-causal-inference

A (concise) curated list of awesome Causal Inference resources.

Size: 12.7 KB - Last synced at: 7 days ago - Pushed at: almost 3 years ago - Stars: 236 - Forks: 38

ds-modules/Legalst-123

UC Berkeley Legal Studies 123 Spring 2022

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FenTechSolutions/CausalDiscoveryToolbox

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

Language: Python - Size: 13.9 MB - Last synced at: 20 days ago - Pushed at: about 1 year ago - Stars: 1,176 - Forks: 202

JoKeyser/Einstiegskurs-Kausale-Inferenz Fork of luebby/WWWEKI

Was, wie, warum? Einstiegskurs Kausale Inferenz

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Sanofi-Public/sharp-bounds-for-continuous-treatment-effects

Snapshot of the implementation used to generate figures and numerical results from the paper "Sharp Bounds for Continuous-Valued Treatment Effects with Unobserved Confounders", Baitairian et al. (2024).

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planplus/causality_zh

"Causality: Models, Reasoning, and Inference-Judea Pearl(2009)"中文翻译及学习笔记

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sdfordham/pysyncon

A python module for the synthetic control method

Language: Python - Size: 2.58 MB - Last synced at: 20 days ago - Pushed at: 2 months ago - Stars: 68 - Forks: 16

rdpackages/rdpackages.github.io

Regression Discontinuity Design Software Packages

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ngreifer/cobalt

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

Language: R - Size: 149 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 76 - Forks: 13

larslorch/avici

Amortized Inference for Causal Structure Learning, NeurIPS 2022

Language: Python - Size: 639 KB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 64 - Forks: 10

tlverse/tmle3

🎯🎓 Generalized Targeted Learning Framework

Language: R - Size: 1.14 MB - Last synced at: about 7 hours ago - Pushed at: about 8 hours ago - Stars: 40 - Forks: 14

T0ngChen/medRCT

📦R package medRCT

Language: R - Size: 1.87 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 4 - Forks: 2

BiomedSciAI/causallib

A Python package for modular causal inference analysis and model evaluations

Language: Python - Size: 13.2 MB - Last synced at: 7 days ago - Pushed at: 2 months ago - Stars: 779 - Forks: 103

ggiannarakis/causal-jobs

causal-jobs is a project dedicated to revealing the status of causal inference in the European job market.

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krassowski/jupyterlab-dagitty

JupyterLab renderer of dagitty causal diagrams

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JoaquinMateosBarroso/group-causation

Group Causation is an open source Python library for causal discovery on time series and groups of time series. It provides tools for identifying causal relationships, automating benchmarks, and evaluating causal inference methods.

Language: Python - Size: 6.11 MB - Last synced at: 22 days ago - Pushed at: 23 days ago - Stars: 2 - Forks: 0

Mamba413/CausalGraphCut

Code for “Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach”

Language: Python - Size: 195 KB - Last synced at: 9 days ago - Pushed at: 23 days ago - Stars: 2 - Forks: 0

zalando/expan

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

Language: Python - Size: 1.24 MB - Last synced at: 13 days ago - Pushed at: about 2 years ago - Stars: 340 - Forks: 49

juangamella/icp

Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant prediction: identification and confidence intervals" by Jonas Peters, Peter Bühlmann and Nicolai Meinshausen.

Language: Python - Size: 414 KB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 22 - Forks: 1

SUwonglab/CausalBGM

An AI-powered Bayesian generative modeling approach for causal inference in observational studies

Language: Python - Size: 2.43 MB - Last synced at: 22 days ago - Pushed at: 24 days ago - Stars: 6 - Forks: 4

Causal-Inference-Group-C4AI/Linear-Programming-For-Interventional-Queries

A program that computes bounds for single intervention queries on quasi-markovian graphs as a linear optimization problem.

Language: Python - Size: 1010 KB - Last synced at: 20 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

emeyer-hansen/synthetic-causal-framework

This repository is part of the Synthetic Causal Framework (SCF) project and is dedicated to publicly hosting the newest version of Synthetic Causal Framework

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emeyer-hansen/synthetic_causal_framework

The Synthetic Causal Framework (SCF) is a novel methodological framework for deriving reliable and valid causal inference for non-manipulable phenomena through use of synthetic units.

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rdpackages/rdlocrand

Finite-sample inference for RD designs using local randomization and related methods.

Language: Stata - Size: 4.76 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 7 - Forks: 10

rdpackages/rdmulti

Estimation, inference, RD Plots, and extrapolation with multiple cutoffs and multiple scores RD designs.

Language: Stata - Size: 7.35 MB - Last synced at: 8 days ago - Pushed at: 26 days ago - Stars: 3 - Forks: 9

rdpackages/rdpower

Power and sample size calculations for RD designs using robust bias-corrected local polynomial inference.

Language: Stata - Size: 3.91 MB - Last synced at: 1 day ago - Pushed at: 26 days ago - Stars: 4 - Forks: 2

grf-labs/grf

Generalized Random Forests

Language: C++ - Size: 62.7 MB - Last synced at: 22 days ago - Pushed at: about 2 months ago - Stars: 1,025 - Forks: 260

jrfiedler/causal_inference_python_code

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

Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: 26 days ago - Pushed at: over 3 years ago - Stars: 1,309 - Forks: 394

mlondschien/ivmodels

Instrumental Variable Regression in Python

Language: Python - Size: 553 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 6 - Forks: 1

carloscinelli/dml.sensemakr

Sensitivity analysis tools for causal ML

Language: R - Size: 145 MB - Last synced at: 6 days ago - Pushed at: 27 days ago - Stars: 17 - Forks: 5

grf-labs/policytree

Policy learning via doubly robust empirical welfare maximization over trees

Language: R - Size: 1.52 MB - Last synced at: 2 days ago - Pushed at: about 1 year ago - Stars: 81 - Forks: 15