Topic: "causal-machine-learning"
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: 697 MB - Last synced at: 1 day ago - Pushed at: 3 days ago - Stars: 7,425 - Forks: 957
msuzen/looper
A resource list for causality in statistics, data science and physics
Size: 789 KB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 264 - Forks: 33
neurodata/treeple
Scikit-learn compatible decision trees beyond those offered in scikit-learn
Language: Jupyter Notebook - Size: 128 MB - Last synced at: 3 days ago - Pushed at: 9 days ago - Stars: 78 - Forks: 18
SUwonglab/CausalEGM
A General Causal Inference Framework by Encoding Generative Modeling
Language: Python - Size: 1.86 MB - Last synced at: 14 days ago - Pushed at: 11 months ago - Stars: 67 - Forks: 12
rguo12/network-deconfounder-wsdm20
Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
Language: Python - Size: 15.5 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 60 - Forks: 9
tlverse/tlverse-handbook
🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook
Language: TeX - Size: 56 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 57 - Forks: 17
CausalInferenceLab/causal-inference-practice
가짜연구소 <인과추론과 실무> 프로젝트
Size: 52 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 38 - Forks: 2
dscolby/CausalELM.jl
Taking causal inference to the extreme!
Language: Julia - Size: 3.17 MB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 28 - Forks: 1
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】
Language: Jupyter Notebook - Size: 57.4 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 27 - Forks: 3
adrianjav/causal-flows
CausalFlows: A library for Causal Normalizing Flows in Pytorch
Language: Python - Size: 2.52 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 21 - Forks: 1
nhejazi/medoutcon
:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
Language: R - Size: 824 KB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 8
Scriddie/Varsortability
Implementations of var-sortability, sortnregress, and chain-orientation as presented in "Beware of the Simulated DAG".
Language: Python - Size: 9.77 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 1
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 at: 12 months ago - Pushed at: 12 months ago - Stars: 9 - Forks: 0
JanTeichertKluge/DMLSim
This library provides packages on DoubleML / Causal Machine Learning and Neural Networks in Python for Simulation and Case Studies.
Language: Python - Size: 145 KB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 0
UzmaHasan/KCRL
Causal Discovery with Prior Knowledge
Language: Python - Size: 808 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0
clarenceluo78/deep-learning-lookup
Collection and implementation of a variety of machine learning code examples (notebooks and Python scripts) and projects.
Language: Jupyter Notebook - Size: 7.87 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1
xphot/app
Thought Hypergraphs for Enhanced Detection and Explainability of Errors Across Experimental Groups
Language: Jupyter Notebook - Size: 82 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0
luka-kovacevic/causalregnet
Python package for SCM-based simulation of gene perturbation data and benchmarking of causal structure learning algorithms.
Language: Python - Size: 4.77 MB - Last synced at: 13 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
umbertocollodel/Machine_Learning_in_Economics
Treatment evaluation in presence of large number of covariates or treatment heterogeneity through Machine Learning methods
Language: R - Size: 62.5 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1
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.
Language: Python - Size: 101 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
Tommylee1013/EconomicCycle
2023학년도 2학기 경기변동론 프로젝트 페이지
Language: Python - Size: 22.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
mmuratardag/DS_causalML
various causal modeling techniques to determine if living in the U.S. or Europe impacts developers’ overall job satisfaction.
Language: R - Size: 1000 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
ekinderdiyok/causal-inference
Sketches Business Model Canvas, discusses A/B testing and randomized control trials (RCTs), codes a proof-of-concept in Python.
Language: Jupyter Notebook - Size: 3.2 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
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
Language: Jupyter Notebook - Size: 4.03 MB - Last synced at: 7 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
masaok/artificial-intelligence-notes
Artificial Intelligence Notes (causal inference)
Size: 1.95 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
techNIK8/Diploma-Thesis
Code of diploma thesis "Study of Causal Machine Learning Techniques on Data from IoT Applications"
Language: Python - Size: 471 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
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 at: about 2 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 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.
Language: Jupyter Notebook - Size: 2.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 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.
Language: R - Size: 515 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
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".
Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
tobiasuruali/Causal_MachineLearning
Causal Machine Learning project analyzing and evaluating different Double ML models for estimating treatment effects in observational data.
Language: HTML - Size: 3.24 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Scriddie/VarsortabilityExperimentSuite
Basic experimental set-up for the comparison of causal structure learning algorithms as shown in "Beware of the Simulated DAG".
Language: Python - Size: 23.4 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1
mmuratardag/AC_NFsh_causal_segmentation
Causal segmentation: estimating conditional average treatment effects for the heterogeneous groups in a sample
Language: R - Size: 31.3 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0