causal-machine-learning

There are 3 repositories under causal-machine-learning topic.

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.
causal-inference machine-learning graphical-models bayesian-networks data-science python3 causality causal-models treatment-effects do-calculus causal-machine-learning
Language:Python 6937
msuzen / looper
A resource list for causality in statistics, data science and physics
statistics statistical-inference bayesian-inference causality-analysis causality data-science physics machine-learning causal-inference meta-learning causal-machine-learning causal-models causality-algorithms causation causal-networks statistical-physics statistical-mechanics causal causal-discovery causal-impact
252
JackHCC / Awesome-Uplift-Model
🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】
causal-inference causal-machine-learning causal-models uplift-modeling
Language:Jupyter Notebook 96
rguo12 / network-deconfounder-wsdm20
Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
causal-inference causal-machine-learning causality-algorithms graph-convolutional-networks graph-neural-networks treatment-effects
Language:Python 69
SUwonglab / CausalEGM
A General Causal Inference Framework by Encoding Generative Modeling
causal-inference generative-model causality treatment-effects deep-generative-model causal-machine-learning
Language:Python 58
tlverse / tlverse-handbook
🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook
targeted-learning causal-inference machine-learning tlverse statistics biostatistics causal-data-science causal-machine-learning data-science
Language:TeX 57
neurodata / treeple
Scikit-learn compatible decision trees beyond those offered in scikit-learn
machine-learning python scikit-learn cython decision-trees random-forest causal-inference causal-machine-learning estimation
Language:Jupyter Notebook 56
CausalInferenceLab / causal-inference-practice
가짜연구소 <인과추론과 실무> 프로젝트
causal-discovery causal-inference causality-analysis causal-machine-learning quasi-experimental
37
dscolby / CausalELM.jl
Taking causal inference to the extreme!
assumption-check causal-inference causal-machine-learning debiased-machine-learning double-machine-learning doubly-robust extreme-learning-machine g-computation interrupted-time-series metalearner metalearning nonparametric-model observational-studies quasi-experimental r-learning s-learner sensitivity-analysis t-learner x-learner
Language:Julia 21
ssbin0914 / Causal-Mode-Multiplexer
Official PyTorch Implementation for "Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection" in CVPR 2024
causal-machine-learning multimodal-object-detection multispectral-pedestrian-detection rgbt-pedestrian-detection causal-inference pedestrian-detection cvpr2024 causality causality-algorithms
Language:Python 19
Scriddie / Varsortability
Implementations of var-sortability, sortnregress, and chain-orientation as presented in the article "Beware of the Simulated DAG": https://arxiv.org/abs/2102.13647.
causal-discovery causal-machine-learning causality-algorithms
Language:Python 14
nhejazi / medoutcon
:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
causal-inference mediation-analysis stochastic-interventions machine-learning targeted-learning inverse-probability-weights treatment-effects r-package r causal-machine-learning
Language:R 13
lmz123321 / which_invariance
Official implementation for ICML23 paper: Which Invariance Should We Transfer? A Causal Minimax Learning Approach
causal-machine-learning
Language:Jupyter Notebook 11
UzmaHasan / KCRL
Causal Discovery with Prior Knowledge
causal-discovery prior-knowledge causal-inference causal-machine-learning causal-modelling causality causality-analysis reinforcement-learning-agent
Language:Python 10
JanTeichertKluge / DMLSim
This library provides packages on DoubleML / Causal Machine Learning and Neural Networks in Python for Simulation and Case Studies.
deep-learning dgp double-machine-learning doubleml machine-learning simulation beit bert case-study causal causal-inference causal-machine-learning multi-modal multimodal multimodal-deep-learning neural-network transformer transformers
Language:Python 6
clarenceluo78 / deep-learning-lookup
Collection and implementation of a variety of machine learning code examples (notebooks and Python scripts) and projects.
deep-learning machine-learning pytorch causal-machine-learning clustering ensemble-learning explainable-ai fairness-ml generative-model graph-neural-networks
Language:Jupyter Notebook 5
quillan86 / impactflow
ImpactFlow is a Python Library for decision modeling based on causal decision models - in which levers and external factors of decisions feed into outcomes.
causal-machine-learning causal-models data-science decision-assessment decision-intelligence decision-simulation decision-support decision-support-system graphical-models machine-learning optimization python3 sensitivity-analysis
Language:Python 2
Scriddie / VarsortabilityExperimentSuite
Basic experimental set-up for the comparison of causal structure learning algorithms as shown in "Beware of the Simulated DAG".
causal-discovery causal-machine-learning causality-algorithms
Language:Python 2
umbertocollodel / Machine_Learning_in_Economics
Treatment evaluation in presence of large number of covariates or treatment heterogeneity through Machine Learning methods
causal-inference causal-machine-learning tweet-classification
Language:R 2
AlexaOrton / BH-SPD-CorrMat-Nets
We perform market regime detection by testing three deep representation learning models tailored to the SPD Riemannian manifold of correlation matrices constructed from Bloomberg JSE Top 60 traded stock price returns data and synthetically-generated block hierarchical correlation matrices.
causal-machine-learning deep-neural-networks financial-markets
Language:Jupyter Notebook 1
DarrenRuan / Causal-GAIL
Code for Causal GAIL. "Learning human driving behaviors with sequential causal imitation learning", AAAI-22.
causal-machine-learning causal-reinforcement-learning causality causal-imitation-learning causal-gail
Language:Python 1
maxmuellerecon / Causal-Machine-Learning
Causal machine learning course in Python
causal-inference causal-machine-learning machine-learning
Language:Python 1
tobiasuruali / Causal_MachineLearning
Causal Machine Learning project analyzing and evaluating different Double ML models for estimating treatment effects in observational data.
causal-inference causal-machine-learning double-machine-learning r mlr3
Language:HTML 1
Tommylee1013 / EconomicCycle
2023학년도 2학기 경기변동론 프로젝트 페이지
double-machine-learning econometrics financial-analysis machine-learning macroeconomics sogang sogang-university causal-machine-learning ensemble-learning ensemble-machine-learning
Language:Python 1
DSsoli / scmopy
scmopy: Distribution-Agnostic Structural Causal Models Optimization in Python
causal-discovery causal-inference causal-machine-learning causal-models causality causality-algorithms machine-learning python statistical-inference statistical-methods statistics
Language:Python 0
KevinArthurTittel / CausalML
Robust Smooth Heterogeneous Treatment Effect Estimation using Causal Machine Learning
causal-inference causal-machine-learning economics empirical-research generalized-random-forest heterogeneous-treatment-effects non-parametric-regression smoothing local-linear-causal-forest random-forest
Language:R 0
noname31157 / KCRL
This is the public repository of the code implementation for KCRL.
causal-analysis causal-discovery causal-machine-learning causal-modeling causality prior-knowledge-integration reinforcement-learning-agent
Language:Python 0
syedmfuad / causal_ml
Comparing effectiveness of the most common causal machine learning methods across various treatment effect, model complexities, data dimensions and sample sizes.
causal-forest causal-inference causal-machine-learning causal-models double-machine-learning machine-learning machine-learning-algorithms propensity-score
Language:R 0
tiger7789 / Software_Promotion_Campaign_Causal_ML
Explore the impact of discounts and tech support on revenue through Causal ML models. This repo provides an analysis notebook, data, and a guide on leveraging machine learning for strategic business decisions.
causal-inference causal-machine-learning
Language:Jupyter Notebook 0
ekinderdiyok / causal-inference
Sketches Business Model Canvas, discusses A/B testing and randomized control trials (RCTs), codes a proof-of-concept in Python.
a-b-testing causal-inference causal-machine-learning customer-loyalty hypothesis-testing randomized-controlled-trials directed-acyclic-graph
Language:Jupyter Notebook
jman4162 / introduction-to-causal-inference
An educational Python-based introduction to causal inference techniques using machine learning.
causal-inference causal-machine-learning data-science economics economics-models machine-learning propensity-score-matching python
Language:Jupyter Notebook
luka-kovacevic / causalregnet
Python package for SCM-based simulation of gene perturbation data and benchmarking of causal structure learning algorithms.
benchmarking causal-discovery causal-machine-learning simulation
Language:Python
masaok / artificial-intelligence-notes
Artificial Intelligence Notes (causal inference)
artificial-intelligence causal-discovery causal-inference causal-machine-learning causal-models causality-analysis
mmuratardag / AC_NFsh_causal_segmentation
Causal segmentation: estimating conditional average treatment effects for the heterogeneous groups in a sample
causal-machine-learning experiment causal-segmentation
Language:R
niklaslienau / ML-Methods-to-estimate-mutivalued-TE
This repo contains all replication files for my M.Sc thesis on "Machine Learning Methods to estimate treatment effects with multivalued treatment".
causal-inference causal-machine-learning econometrics

causal-machine-learning

py-why / dowhy

msuzen / looper

JackHCC / Awesome-Uplift-Model

rguo12 / network-deconfounder-wsdm20

SUwonglab / CausalEGM

tlverse / tlverse-handbook

neurodata / treeple

CausalInferenceLab / causal-inference-practice

dscolby / CausalELM.jl

ssbin0914 / Causal-Mode-Multiplexer

Scriddie / Varsortability

nhejazi / medoutcon

lmz123321 / which_invariance

UzmaHasan / KCRL

JanTeichertKluge / DMLSim

clarenceluo78 / deep-learning-lookup

quillan86 / impactflow

Scriddie / VarsortabilityExperimentSuite

umbertocollodel / Machine_Learning_in_Economics

AlexaOrton / BH-SPD-CorrMat-Nets

DarrenRuan / Causal-GAIL

maxmuellerecon / Causal-Machine-Learning

tobiasuruali / Causal_MachineLearning

Tommylee1013 / EconomicCycle

DSsoli / scmopy

KevinArthurTittel / CausalML

noname31157 / KCRL

syedmfuad / causal_ml

tiger7789 / Software_Promotion_Campaign_Causal_ML

ekinderdiyok / causal-inference

jman4162 / introduction-to-causal-inference

luka-kovacevic / causalregnet

masaok / artificial-intelligence-notes

mmuratardag / AC_NFsh_causal_segmentation

niklaslienau / ML-Methods-to-estimate-mutivalued-TE