causal-machine-learning
There are 41 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.
msuzen/looper
A resource list for causality in statistics, data science and physics
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】
neurodata/treeple
Scikit-learn compatible decision trees beyond those offered in scikit-learn
rguo12/network-deconfounder-wsdm20
Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
SUwonglab/CausalEGM
A General Causal Inference Framework by Encoding Generative Modeling
tlverse/tlverse-handbook
🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook
CausalInferenceLab/causal-inference-practice
가짜연구소 <인과추론과 실무> 프로젝트
dscolby/CausalELM.jl
Taking causal inference to the extreme!
ssbin0914/Causal-Mode-Multiplexer
Official PyTorch Implementation for "Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection" in CVPR 2024
adrianjav/causal-flows
CausalFlows: A library for Causal Normalizing Flows in Pytorch
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.
UzmaHasan/KCRL
Causal Discovery with Prior Knowledge
nhejazi/medoutcon
:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
ShaokunAn/scCausalVI
Perturbational analysis by causality-aware generative model for single-cell RNA-sequencing data
lmz123321/which_invariance
Official implementation for ICML23 paper: Which Invariance Should We Transfer? A Causal Minimax Learning Approach
CU-DitecT/Causal-GAIL
Code for Causal GAIL. "Learning human driving behaviors with sequential causal imitation learning", AAAI-22.
JanTeichertKluge/DMLSim
This library provides packages on DoubleML / Causal Machine Learning and Neural Networks in Python for Simulation and Case Studies.
clarenceluo78/deep-learning-lookup
Collection and implementation of a variety of machine learning code examples (notebooks and Python scripts) and projects.
xphot/app
Análise Avançada de Dados com Causalidade e Aprendizado por Reforço
harveybc/causal-inference
Cusal Inference applied to timeseries, uses an event database to generate a timeseries of the outcome given a sliding window containing events. Useful to add causal outcomes of events into multivariate timeseries forecasting models.
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.
luka-kovacevic/causalregnet
Python package for SCM-based simulation of gene perturbation data and benchmarking of causal structure learning algorithms.
Scriddie/VarsortabilityExperimentSuite
Basic experimental set-up for the comparison of causal structure learning algorithms as shown in "Beware of the Simulated DAG".
umbertocollodel/Machine_Learning_in_Economics
Treatment evaluation in presence of large number of covariates or treatment heterogeneity through Machine Learning methods
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.
arham-anwar/CausalML-DoWhy-EconML
Impact of Referral Program on Revenue | Python, CausalML, DoWhy, EconML, Jupyter Notebook: Applied S-, T-, & X-learner causal models to quantify the referral program's impact, revealing a +$59.74 increase in order value (p < 0.001) and significantly boosting e-commerce revenue
eaguaida/causal-explainer
an open-source alternative to localised explanations in DNN/ML models
maxmuellerecon/Causal-Machine-Learning
Causal machine learning course in Python
tobiasuruali/Causal_MachineLearning
Causal Machine Learning project analyzing and evaluating different Double ML models for estimating treatment effects in observational data.
Tommylee1013/EconomicCycle
2023학년도 2학기 경기변동론 프로젝트 페이지
DSsoli/scmopy
scmopy: Distribution-Agnostic Structural Causal Models Optimization in Python
ekinderdiyok/causal-inference
Sketches Business Model Canvas, discusses A/B testing and randomized control trials (RCTs), codes a proof-of-concept in Python.
mmuratardag/DS_causalML
various causal modeling techniques to determine if living in the U.S. or Europe impacts developers’ overall job satisfaction.
jman4162/introduction-to-causal-inference
An educational Python-based introduction to causal inference techniques using machine learning.
masaok/artificial-intelligence-notes
Artificial Intelligence Notes (causal inference)