ddangchani/Supplements

Supplements for Blog posts

Language: Jupyter Notebook - Size: 20 MB - Last synced: about 7 hours ago - Pushed: about 7 hours ago - Stars: 1 - Forks: 0

Kuan-Liu-Lab/bayesmsm

Language: R - Size: 408 KB - Last synced: about 10 hours ago - Pushed: about 11 hours ago - Stars: 0 - Forks: 0

sdfordham/pysyncon

A python module for the synthetic control method

Language: Python - Size: 2.53 MB - Last synced: about 2 hours ago - Pushed: about 18 hours ago - Stars: 29 - Forks: 3

rguo12/awesome-causality-algorithms

An index of algorithms for learning causality with data

Size: 320 KB - Last synced: about 7 hours ago - Pushed: 9 months ago - Stars: 2,799 - Forks: 435

CausalInferenceLab/causal-inference-practice

가짜연구소 <인과추론과 실무> 프로젝트

Size: 1000 KB - Last synced: about 20 hours ago - Pushed: about 21 hours ago - Stars: 4 - Forks: 0

dscolby/CausalELM.jl

Taking causal inference to the extreme!

Language: Julia - Size: 2.31 MB - Last synced: about 22 hours ago - Pushed: about 23 hours ago - Stars: 18 - Forks: 0

drganghe/program-evaluation

Course on Program Evaluation

Language: TeX - Size: 17.3 MB - Last synced: about 20 hours ago - Pushed: about 23 hours ago - Stars: 0 - Forks: 0

larslorch/avici

Amortized Inference for Causal Structure Learning, NeurIPS 2022

Language: Python - Size: 695 KB - Last synced: about 17 hours ago - Pushed: 2 months ago - Stars: 47 - 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: 8.31 MB - Last synced: about 14 hours ago - Pushed: 1 day ago - Stars: 13 - Forks: 1

SUwonglab/CausalEGM

A General Causal Inference Framework by Encoding Generative Modeling

Language: Python - Size: 1.84 MB - Last synced: 1 day ago - Pushed: 1 day ago - Stars: 52 - Forks: 8

py-why/causal-learn

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

Language: Python - Size: 27 MB - Last synced: 1 day ago - Pushed: 27 days ago - Stars: 992 - Forks: 172

pymc-labs/CausalPy

A Python package for causal inference in quasi-experimental settings

Language: Python - Size: 96.3 MB - Last synced: about 14 hours ago - Pushed: 4 days ago - Stars: 805 - Forks: 48

mckinsey/causalnex

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

Language: Python - Size: 22.8 MB - Last synced: 1 day ago - Pushed: 5 days ago - Stars: 2,151 - Forks: 252

matteocourthoud/awesome-causal-inference

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

Size: 18.8 MB - Last synced: about 7 hours ago - Pushed: about 2 months ago - Stars: 661 - Forks: 120

BiomedSciAI/causallib

A Python package for modular causal inference analysis and model evaluations

Language: Python - Size: 12.8 MB - Last synced: 2 days ago - Pushed: 7 months ago - Stars: 665 - Forks: 93

uber/causalml

Uplift modeling and causal inference with machine learning algorithms

Language: Python - Size: 93.8 MB - Last synced: 11 days ago - Pushed: 12 days ago - Stars: 4,768 - Forks: 746

jman4162/introduction-to-causal-inference

An educational Python-based introduction to causal inference techniques using machine learning.

Language: Jupyter Notebook - Size: 362 KB - Last synced: 1 day ago - Pushed: 3 days ago - Stars: 0 - Forks: 0

nt-williams/lmtp

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

Language: R - Size: 2.84 MB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 53 - Forks: 14

bernardodionisi/differences

difference-in-differences in Python

Language: Python - Size: 3.36 MB - Last synced: 1 day ago - Pushed: 4 months ago - Stars: 77 - Forks: 16

rdemarqui/python-causality-handbook-ptbr Fork of matheusfacure/python-causality-handbook

Inferência Causal para os Corajosos e Verdadeiros. Uma abordagem divertida, mas rigorosa, para aprender sobre estimativa de impacto e causalidade.

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WillianFuks/tfcausalimpact

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

Language: Python - Size: 8.09 MB - Last synced: 4 days ago - Pushed: 5 days ago - Stars: 579 - Forks: 69

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).

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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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carloscinelli/dml.sensemakr

Sensitivity analysis tools for causal ML

Language: R - Size: 124 MB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 9 - Forks: 3

causy-dev/causy

Causal discovery made easy.

Language: Python - Size: 8.76 MB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 17 - Forks: 0

maks-sh/scikit-uplift

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

Language: Python - Size: 7.79 MB - Last synced: about 1 hour ago - Pushed: 7 months ago - Stars: 695 - Forks: 96

ngreifer/WeightIt

WeightIt: an R package for propensity score weighting

Language: R - Size: 9.63 MB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 98 - Forks: 12

Causal-LDA/TrialEmulation

Language: R - Size: 14.9 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 7 - Forks: 3

cdt15/lingam

Python package for causal discovery based on LiNGAM.

Language: Python - Size: 5.99 MB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 344 - Forks: 51

IyarLin/blog-code

This repo contains the public directory which is the blog

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grf-labs/grf

Generalized Random Forests

Language: C++ - Size: 64.4 MB - Last synced: 6 days ago - Pushed: 7 days ago - Stars: 931 - Forks: 247

Kanaries/Rath

Next generation of automated data exploratory analysis and visualization platform.

Language: TypeScript - Size: 81.8 MB - Last synced: 29 days ago - Pushed: about 1 month ago - Stars: 3,952 - Forks: 287

y0-causal-inference/y0

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

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lakshyaag/Airbnb-Price-Predictor

Predicting prices for Airbnb listings in Montreal, QC and exploring causal factors influencing price

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amirgazar/Environmental-Impact-Assessment

performs Bayesian inference modeling to scope environmental impact assessments in sociotechnical energy systems

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pcausal/practicallycausal.com

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KurtButler/joint_causation

Reproducible code for our paper "Measuring Strength of Joint Causal Effects", IEEE TSP 2024.

Language: MATLAB - Size: 175 KB - Last synced: 8 days ago - Pushed: 9 days ago - Stars: 0 - Forks: 0

py-why/dodiscover

[Experimental] Global causal discovery algorithms

Language: Python - Size: 422 MB - Last synced: 11 days ago - Pushed: 11 days ago - Stars: 58 - Forks: 14

jiachenli94/Awesome-Decision-Making-Reinforcement-Learning

A selection of state-of-the-art research materials on decision making and motion planning.

Size: 30.3 KB - Last synced: 9 days ago - Pushed: over 3 years ago - Stars: 202 - Forks: 42

plasma-umass/coz

Coz: Causal Profiling

Language: C - Size: 8.95 MB - Last synced: 10 days ago - Pushed: 24 days ago - Stars: 3,932 - Forks: 158

neildhir/non-stationary-causal-bandits

Non-stationary multi-armed bandit under a causal perspective

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cjerzak/causalimages-software

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

Language: R - Size: 468 MB - Last synced: 13 days ago - Pushed: 14 days ago - Stars: 15 - Forks: 1

rdpackages/rdlocrand

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

Language: Stata - Size: 4.43 MB - Last synced: 12 days ago - Pushed: 4 months ago - Stars: 6 - Forks: 6

CausalAIBook/MetricsMLNotebooks

Notebooks for Applied Causal Inference Powered by ML and AI

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grf-labs/maq

Qini curves for multi-armed treatment rules

Language: R - Size: 3.27 MB - Last synced: 11 days ago - Pushed: 12 days ago - Stars: 8 - Forks: 2

larslorch/stadion

Causal Modeling with Stationary Diffusions, AISTATS 2024

Language: Python - Size: 369 KB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 3 - Forks: 0

DoubleML/doubleml-for-py

DoubleML - Double Machine Learning in Python

Language: Python - Size: 3.55 MB - Last synced: 11 days ago - Pushed: 12 days ago - Stars: 418 - Forks: 67

jaabmar/kernel-test-bias

Implementation for the paper: "Hidden among subgroups: Detecting critical treatment effect bias in observational studies"

Language: Python - Size: 32.2 KB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 1 - Forks: 0

rdpackages/rdmulti

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

Language: Stata - Size: 7.27 MB - Last synced: 12 days ago - Pushed: 5 months ago - Stars: 3 - Forks: 8

TARGENE/TMLE.jl

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

Language: Julia - Size: 4.98 MB - Last synced: 3 days ago - Pushed: 13 days ago - Stars: 16 - Forks: 1

GawainGan/Causal-Inference-The-Mixtape

Mandarin version of Causal Inference The Mixtape with Note

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amaiya/causalnlp

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

Language: Jupyter Notebook - Size: 15 MB - Last synced: 10 days ago - Pushed: almost 2 years ago - Stars: 128 - Forks: 11

JuliaDiffinDiffs/DiffinDiffs.jl

A suite of Julia packages for difference-in-differences

Language: Julia - Size: 1.53 MB - Last synced: about 9 hours ago - Pushed: about 1 month ago - Stars: 36 - Forks: 2

MLResearchAtOSRAM/cause2e

The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).

Language: Python - Size: 8.52 MB - Last synced: 1 day ago - Pushed: about 1 year ago - Stars: 56 - Forks: 4

tmichoel/BioFindr.jl

Fast Inference of Biological Networks from Directed Regulations (Findr) in Julia

Language: Julia - Size: 1.53 MB - Last synced: 15 days ago - Pushed: 15 days ago - Stars: 1 - Forks: 0

QuantLet/Supervised-Randomization

Experiments showing the profit efficiency of targeted randomized sampling in comparison to standard A/B testing

Language: R - Size: 19.5 KB - Last synced: 16 days ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

QuantLet/DataGenerationForCausalInference

Generates synthetic data to apply simulations for causal inference

Language: R - Size: 963 KB - Last synced: 16 days ago - Pushed: about 5 years ago - Stars: 7 - Forks: 7

gmgeorg/pypsps

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

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jaabmar/confounder-lower-bound

Code for the paper "Hidden yet quantifiable: A lower bound for confounding strength using randomized trials"

Language: Python - Size: 1.29 MB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 3 - Forks: 0

mims-harvard/PDGrapher

Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks

Language: Python - Size: 8.03 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 14 - Forks: 4

remlapmot/cibookex-r

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

Language: RMarkdown - Size: 57.4 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 80 - Forks: 59

r-causal/ggdag

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

Language: R - Size: 172 MB - Last synced: 11 days ago - Pushed: about 2 months ago - Stars: 425 - Forks: 28

ssbin0914/Causal-Mode-Multiplexer

Official PyTorch Implementation for "Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection" in CVPR 2024

Language: Python - Size: 1.24 MB - Last synced: 17 days ago - Pushed: 18 days ago - Stars: 9 - Forks: 0

fehiepsi/rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

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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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dadmehrdi/causal_inference

cause /kôz/ noun 1. a person or thing that gives rise to an action, phenomenon, or condition.

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KurtButler/2023-CCM-paper

Reproducible code for our paper, "On Causal Discovery with Convergent Cross Mapping"

Language: MATLAB - Size: 1.63 MB - Last synced: 19 days ago - Pushed: 19 days ago - Stars: 2 - Forks: 0

bcbeidel/causal-inference-on-time-series-with-causal-impact 📦

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evan-magnusson/rdd

Python tools for regression discontinuity designs

Language: Python - Size: 619 KB - Last synced: 16 days ago - Pushed: over 4 years ago - Stars: 66 - Forks: 23

paul-krug/pytorch-tcn

(Realtime) Temporal Convolutions in PyTorch

Language: Python - Size: 196 KB - Last synced: 18 days ago - Pushed: 18 days ago - Stars: 16 - Forks: 3

rdpackages/rdrobust

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

Language: Stata - Size: 10.6 MB - Last synced: 8 days ago - Pushed: 3 months ago - Stars: 65 - Forks: 37

muszyna25/project_causal_climate_dynamics

Causal discovery of drivers of the summer Himalayan precipitation

Language: Jupyter Notebook - Size: 9.23 MB - Last synced: 20 days ago - Pushed: 21 days ago - Stars: 0 - Forks: 0

imirzadeh/awesome-causal-inference

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

Size: 12.7 KB - Last synced: about 7 hours ago - Pushed: over 1 year ago - Stars: 206 - Forks: 35

gkukish/ceoresearch

Researching the relationship between stock market performance and involuntary CEO dismissal.

Language: Jupyter Notebook - Size: 8.11 MB - Last synced: 22 days ago - Pushed: 23 days ago - Stars: 0 - Forks: 0

Minyus/causallift

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

Language: Python - Size: 5.8 MB - Last synced: 5 days ago - Pushed: almost 1 year ago - Stars: 333 - Forks: 42

rsyi/pylift

Uplift modeling and evaluation library. Actively maintained pypi version.

Language: Python - Size: 7.6 MB - Last synced: 6 days ago - Pushed: 5 months ago - Stars: 70 - Forks: 20

JuliaDynamics/CausalityTools.jl

Algorithms for detecting associations, dynamical influences and causal inference from data.

Language: Julia - Size: 30.2 MB - Last synced: 3 days ago - Pushed: 4 months ago - Stars: 131 - Forks: 9

nhejazi/haldensify

:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

Language: R - Size: 5.17 MB - Last synced: 22 days ago - Pushed: 3 months ago - Stars: 16 - Forks: 5

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.

Language: Python - Size: 4.48 MB - Last synced: 4 days ago - Pushed: 12 months ago - Stars: 55 - Forks: 20

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: 23 days ago - Pushed: 24 days ago - Stars: 109 - Forks: 2

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: 585 MB - Last synced: 26 days ago - Pushed: 27 days ago - Stars: 6,714 - Forks: 906

Kuan-Liu-Lab/causens

An R package for causal sensitivity analysis methods

Language: R - Size: 4.42 MB - Last synced: 24 days ago - Pushed: 25 days ago - Stars: 1 - Forks: 0

pgmpy/pgmpy

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

Language: Python - Size: 9.42 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 2,606 - Forks: 694

KaydeeJR/logistics-optimization-causal-inference

An application of causal inference methods to optimizing the location of delivery drivers.

Language: Jupyter Notebook - Size: 2.87 MB - Last synced: 24 days ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

YZhu0225/Estimating-the-Impact-of-Opioid-Control-Policies Fork of MIDS-at-Duke/pds-2022-yellow-team

The goal of the project is to evaluate the efficiency of laws and policies related to opioid drugs in Florida, Texas, and Washington.

Language: Jupyter Notebook - Size: 10.7 MB - Last synced: 25 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

emtinanseo/Optimization-with-Causal-Inference

Logistic optimization: Delivery drivers location optimization with Causal Inference

Language: Jupyter Notebook - Size: 1.19 MB - Last synced: 25 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

larslorch/dibs

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

Language: Python - Size: 13 MB - Last synced: 10 days ago - Pushed: 2 months ago - Stars: 43 - Forks: 10

Boehringer-Ingelheim/BPrinStratTTE

Causal Effects in Principal Strata Defined by Antidrug Antibodies

Language: R - Size: 90.4 MB - Last synced: 25 days ago - Pushed: 26 days ago - Stars: 0 - Forks: 1

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.

Size: 143 KB - Last synced: 14 days ago - Pushed: about 1 year ago - Stars: 488 - Forks: 75

andrewheiss/evalsp20.classes.andrewheiss.com

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

Language: HTML - Size: 144 MB - Last synced: 26 days ago - Pushed: about 4 years ago - Stars: 23 - Forks: 10

andrewheiss/closing-backdoors-dags

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

Size: 452 KB - Last synced: 26 days ago - Pushed: about 4 years ago - Stars: 11 - Forks: 4

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: 46.9 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 2,429 - Forks: 428

sb-ai-lab/HypEx

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

Language: Python - Size: 56.4 MB - Last synced: 30 days ago - Pushed: about 1 month ago - Stars: 41 - Forks: 2

IDSIA/credici

Credici: Credal Inference for Causal Inference

Language: Java - Size: 978 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 13 - Forks: 1

kkholst/targeted

Targeted inference (R package) https://kkholst.github.io/targeted/

Language: R - Size: 2.49 MB - Last synced: about 2 months ago - Pushed: 3 months ago - Stars: 8 - Forks: 1

kkholst/target

Target: library for targeted inference https://targetlib.org/

Language: C++ - Size: 11.7 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0

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: 23 days ago - Pushed: about 1 month ago - Stars: 1,051 - Forks: 200

robitalec/statistical-rethinking-colearning-2024

Statistical Rethinking colearning 2024

Language: R - Size: 23.5 MB - Last synced: 30 days ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

RishiSadhir/Causal-inference-The-mixtape-The-remix

A R/tidyverse based companion to Scott Cunningham's Causal Inference: The Mixtape (V. 1.7).

Size: 3.94 MB - Last synced: 28 days ago - Pushed: almost 5 years ago - Stars: 1 - Forks: 1

declare-lab/RECCON

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

Language: Python - Size: 15.9 MB - Last synced: 26 days ago - Pushed: over 1 year ago - Stars: 159 - Forks: 29