annaguo-bios/fdcausal

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

Language: R - Size: 485 KB - Last synced at: about 2 hours ago - Pushed at: about 3 hours ago - Stars: 0 - Forks: 0

annaguo-bios/fd-methods

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

Language: R - Size: 101 MB - Last synced at: about 3 hours ago - Pushed at: about 3 hours ago - Stars: 0 - Forks: 0

Kanaries/Rath

Next generation of automated data exploratory analysis and visualization platform.

Language: TypeScript - Size: 82.3 MB - Last synced at: about 2 hours ago - Pushed at: about 3 hours ago - Stars: 4,434 - Forks: 358

vdblm/CausalPFN

CausalPFN: Amortized Causal Effect Estimation via In-Context Learning

Language: Jupyter Notebook - Size: 44.1 MB - Last synced at: about 7 hours ago - Pushed at: about 7 hours ago - Stars: 0 - Forks: 0

guifrs/enem-irt-public-vs-private

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

Language: Python - Size: 1.29 MB - Last synced at: about 18 hours ago - Pushed at: about 19 hours ago - Stars: 0 - Forks: 0

jordandeklerk/pyDiD

Python package implementing a variety of DiD and doubly robust DiD estimators

Language: Python - Size: 5.65 MB - Last synced at: about 22 hours ago - Pushed at: about 22 hours ago - Stars: 0 - Forks: 0

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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hase3b/DiaCausal

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

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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.

Language: Go - Size: 144 KB - 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: 2 days ago - Pushed at: 2 days ago - Stars: 21 - Forks: 3

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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pgmpy/pgmpy

Python Library for Causal and Probabilistic Modeling using Bayesian Networks

Language: Python - Size: 13.2 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 2,964 - Forks: 838

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.

Language: Jupyter Notebook - Size: 45.5 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 4,144 - Forks: 756

pymc-labs/CausalPy

A Python package for causal inference in quasi-experimental settings

Language: Python - Size: 216 MB - Last synced at: about 5 hours ago - Pushed at: about 6 hours ago - Stars: 1,002 - Forks: 75

maks-sh/scikit-uplift

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

Language: Python - Size: 7.79 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 770 - Forks: 102

mikenguyen13/data_analysis

Streamline a data analysis process

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Causal-LDA/TrialEmulation

Language: R - Size: 21.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 26 - Forks: 9

nicomorga/ml-notebooks

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

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priism-center/thinkCausal_dev

Point-and-click bartCause analysis and causal inference education

Language: R - Size: 50.6 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 25 - Forks: 4

RobinDenz1/simDAG

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

Language: R - Size: 12.3 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 11 - Forks: 0

ncn-foreigners/jointCalib

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

Language: R - Size: 130 MB - Last synced at: 5 days ago - Pushed at: 2 months ago - Stars: 8 - Forks: 0

stscl/spEDM

Spatial Empirical Dynamic Modeling

Language: C++ - Size: 9.47 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 18 - Forks: 1

msuzen/looper

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

Size: 831 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 264 - Forks: 33

DoubleML/doubleml-for-py

DoubleML - Double Machine Learning in Python

Language: Python - Size: 8.37 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 597 - Forks: 91

Davidvandijcke/R3D

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

Language: R - Size: 1.33 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

Kuan-Liu-Lab/causens

An R package for causal sensitivity analysis methods

Language: R - Size: 5.95 MB - Last synced at: 3 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

OscarEngelbrektson/SyntheticControlMethods

A Python package for causal inference using Synthetic Controls

Language: Python - Size: 69.8 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 185 - Forks: 55

sb-ai-lab/HypEx

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

Language: Python - Size: 62.7 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 111 - Forks: 7

Kuan-Liu-Lab/bayesmsm

An R package for Bayesian Marginal Structural Models

Language: R - Size: 10.4 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 1

SpatLyu/EDMethods

Methods of Empirical Dynamic Modeling (EDM)

Size: 27.2 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 6 - Forks: 0

c2d-usp/causal-reasoning

Language: Python - Size: 1.01 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

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

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.

Language: Python - Size: 704 MB - Last synced at: 7 days ago - Pushed at: 21 days ago - Stars: 7,508 - Forks: 963

TARGENE/TMLE.jl

A Julia implementation of the Targeted Minimum Loss-based Estimation

Language: Julia - Size: 9.41 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 20 - Forks: 4

huawei-noah/trustworthyAI

Trustworthy AI related projects

Language: Python - Size: 10.3 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 1,045 - Forks: 234

vaijira/why-rs

Rust causal related tools.

Language: Rust - Size: 118 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 33.2 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

uber/causalml

Uplift modeling and causal inference with machine learning algorithms

Language: Python - Size: 110 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 5,417 - Forks: 815

drganghe/program-evaluation

Open Course on Program Evaluation

Language: TeX - Size: 27.8 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

evenssalies/MSE

Statistical Evaluation Methods

Language: Stata - Size: 4.79 MB - Last synced at: 10 days ago - Pushed at: 10 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: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

ds-modules/Legalst-123

UC Berkeley Legal Studies 123 Spring 2022

Language: Jupyter Notebook - Size: 93 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 12 - Forks: 10

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: 12 days ago - Pushed at: about 1 year ago - Stars: 1,176 - Forks: 202

mckinsey/causalnex

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

Language: Python - Size: 22.8 MB - Last synced at: 12 days ago - Pushed at: 12 months ago - Stars: 2,322 - Forks: 266

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).

Language: R - Size: 3.53 MB - Last synced at: 4 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

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: 12 days ago - Pushed at: about 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: 13 days ago - Pushed at: 13 days ago - Stars: 76 - Forks: 13

larslorch/avici

Amortized Inference for Causal Structure Learning, NeurIPS 2022

Language: Python - Size: 639 KB - Last synced at: 9 days ago - Pushed at: 4 months ago - Stars: 64 - Forks: 10

T0ngChen/medRCT

📦R package medRCT

Language: R - Size: 1.87 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 4 - Forks: 2

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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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: 14 days ago - Pushed at: 14 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: about 19 hours ago - Pushed at: 15 days ago - Stars: 2 - Forks: 0

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.

Language: Python - Size: 1.57 GB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1,768 - Forks: 241

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: 5 days ago - Pushed at: about 2 years ago - Stars: 340 - Forks: 49

SUwonglab/CausalBGM

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

Language: Python - Size: 2.43 MB - Last synced at: 13 days ago - Pushed at: 16 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: 12 days ago - Pushed at: 12 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.

Language: HTML - Size: 4.59 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

rdpackages/rdlocrand

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

Language: Stata - Size: 4.76 MB - Last synced at: 18 days ago - Pushed at: 18 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: 18 days ago - Pushed at: 18 days ago - Stars: 3 - Forks: 9

m-clark/book-of-models

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

Language: Python - Size: 150 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 68 - Forks: 14

grf-labs/grf

Generalized Random Forests

Language: C++ - Size: 62.7 MB - Last synced at: 14 days ago - Pushed at: about 1 month 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: 18 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: 19 days ago - Pushed at: 19 days ago - Stars: 6 - Forks: 1

grf-labs/policytree

Policy learning via doubly robust empirical welfare maximization over trees

Language: R - Size: 1.52 MB - Last synced at: 8 days ago - Pushed at: 12 months ago - Stars: 81 - Forks: 14

hanxiao0607/CFAD

CFAD: Achieving Counterfactual Fairness for Anomaly Detection (PAKDD 2023)

Language: Python - Size: 1.57 MB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 5 - Forks: 0

shlizee/TimeAwarePC

A python package for finding causal functional connectivity from neural time series observations.

Language: Python - Size: 29.2 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 17 - Forks: 2

fehiepsi/rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

Language: Jupyter Notebook - Size: 143 MB - Last synced at: 16 days ago - Pushed at: about 1 month ago - Stars: 458 - Forks: 75

matheusfacure/python-causality-handbook

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

Language: Jupyter Notebook - Size: 47.3 MB - Last synced at: 19 days ago - Pushed at: 6 months ago - Stars: 2,950 - Forks: 538

r-causal/ggdag

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

Language: R - Size: 185 MB - Last synced at: 17 days ago - Pushed at: about 2 months ago - Stars: 447 - Forks: 31

nt-williams/lmtp

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

Language: R - Size: 3.11 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 65 - Forks: 19

kchaz/CausalCourseNotes

Course notes on causal inference

Language: R - Size: 15.1 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 17 - Forks: 0

SUwonglab/CausalEGM

A General Causal Inference Framework by Encoding Generative Modeling

Language: Python - Size: 1.86 MB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 69 - Forks: 11

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: 20 days ago - Pushed at: 2 months ago - Stars: 1,359 - Forks: 215

KwonNayeon/urban-parks-childrens-happiness

Grad thesis on urban parks’ impact on children’s happiness – data, results, and code

Language: R - Size: 8.95 MB - Last synced at: 6 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

MicheleCucinella/Causal-Inference

Report on the paper "The Consequences of Promoting Data Literacy Among Graduate Students", by Margherita Fort, Annalisa Loviglio, Susanna Tinti.

Size: 685 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

jroessler/autoum

A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects

Language: Python - Size: 1.34 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 23 - Forks: 3

neurodata/treeple

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

Language: Jupyter Notebook - Size: 126 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 79 - Forks: 20

BiomedSciAI/causallib

A Python package for modular causal inference analysis and model evaluations

Language: Python - Size: 13.2 MB - Last synced at: 20 days ago - Pushed at: 2 months ago - Stars: 777 - Forks: 102

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

Language: Python - Size: 4.91 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 57 - Forks: 13

carloscinelli/dml.sensemakr

Sensitivity analysis tools for causal ML

Language: R - Size: 145 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 17 - Forks: 5

ArturoSbr/econometrics-ii-2025

Econometrics II workshop (2025).

Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: 11 days ago - Pushed at: 20 days ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 478 KB - Last synced at: 15 days ago - Pushed at: 3 months ago - Stars: 78 - Forks: 5

gmgeorg/pypsps

Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras

Language: Jupyter Notebook - Size: 6.53 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 18 - Forks: 1

larslorch/dibs

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

Language: Python - Size: 13 MB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 50 - Forks: 13

ehsanx/PlasmodeSim

Language: HTML - Size: 2.19 GB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 3 - Forks: 4

py-why/dodiscover

[Experimental] Global causal discovery algorithms

Language: Python - Size: 522 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 101 - Forks: 17

ecboghiu/inflation

Implementations of the Inflation Technique for Causal Inference.

Language: Python - Size: 11.2 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 29 - Forks: 5

agrumery/aGrUM

This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).

Language: Jupyter Notebook - Size: 335 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 40 - Forks: 0

dscolby/CausalELM.jl

Taking causal inference to the extreme!

Language: Julia - Size: 3.17 MB - Last synced at: 20 days ago - Pushed at: 6 months ago - Stars: 30 - Forks: 1

lmaowisc/BMI741

Course site for BMI 741 at UW-Madison

Language: PostScript - Size: 34.5 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

mims-harvard/PDGrapher

Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks

Language: Jupyter Notebook - Size: 58.4 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 24 - Forks: 5

CausalInference/pygformula

The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.

Language: Python - Size: 8.39 MB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 28 - Forks: 5

cdt15/lingam

Python package for causal discovery based on LiNGAM.

Language: Python - Size: 6.67 MB - Last synced at: 24 days ago - Pushed at: 25 days ago - Stars: 415 - Forks: 64

matteocourthoud/awesome-causal-inference

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

Size: 22.8 MB - Last synced at: 25 days ago - Pushed at: 2 months ago - Stars: 980 - Forks: 168

HCPLab-SYSU/CausalVLR Fork of anonymity2023/Causal-VLReasoning

CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning (视觉-语言因果推理开源框架)

Language: Python - Size: 106 MB - Last synced at: 20 days ago - Pushed at: 3 months ago - Stars: 155 - Forks: 5

causy-dev/causy

Causal discovery made easy.

Language: Python - Size: 11.3 MB - Last synced at: 8 days ago - Pushed at: 2 months ago - Stars: 51 - Forks: 1