double-machine-learning

Here are 47 public repositories matching this topic...

DoubleML / doubleml-for-py

DoubleML - Double Machine Learning in Python

python data-science machine-learning statistics scikit-learn econometrics causal-inference double-machine-learning

Updated Jun 4, 2026
Python

StatsPAI is the first agent-native Python platform for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, and R/Stata parity validation.

Updated Jun 7, 2026
Python

DoubleML / doubleml-for-r

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DoubleML - Double Machine Learning in R

data-science machine-learning r statistics econometrics causal-inference mlr3 double-machine-learning

Updated Apr 14, 2025
R

dcacciarelli / market-impact-renewables

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Applied machine learning toolkit implementing Double Machine Learning for Energy Analytics.

causal-inference renewable-energy applied-machine-learning double-machine-learning energy-analytics

Updated Dec 1, 2025
Python

dscolby / CausalELM.jl

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Taking causal inference to the extreme!

sensitivity-analysis causal-inference extreme-learning-machine nonparametric-model r-learning metalearning observational-studies g-computation quasi-experimental causal-machine-learning interrupted-time-series assumption-check double-machine-learning x-learner s-learner t-learner doubly-robust debiased-machine-learning metalearner

Updated Dec 17, 2024
Julia

carloscinelli / dml.sensemakr

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Sensitivity analysis tools for causal ML

machine-learning r r-package sensitivity-analysis causal-inference double-machine-learning debiased-machine-learning

Updated Apr 1, 2026
R

causalis-causalcraft / Causalis

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Causalis - State-of-the-art robust causal inference for experiments and observational data in python

python data-science machine-learning statistics ai dml rct econometrics experimentation ab-testing gate causal-inference synthetic-control uplift-modeling causalml pydantic difference-in-differences cuped double-machine-learning

Updated May 17, 2026
Python

Trhova / Causal-Microbiome-Omics

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Plain-language guide to causal inference for microbiome & multi-omics: DAGs/backdoor, confounders vs mediators/colliders, causal mediation (ACME/ADE/Total), and Double Machine Learning (DML) with toy examples + code.

machine-learning bioinformatics microbiome mediation-analysis causal-inference multiomics double-machine-learning microbiome-multiomics

Updated Jan 15, 2026
Python

DoubleML / doubleml-serverless

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DoubleML-Serverless - Distributed Double Machine Learning with a Serverless Architecture

python data-science machine-learning statistics aws-lambda serverless scikit-learn econometrics causal-inference double-machine-learning

Updated Dec 25, 2023
Python

DoubleML / doubleml-coverage

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Coverage Simulations for DoubleML package

coverage statistics double-machine-learning

Updated Jan 31, 2026
Python

JanTeichertKluge / DMLSim

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This library provides packages on DoubleML / Causal Machine Learning and Neural Networks in Python for Simulation and Case Studies.

machine-learning deep-learning neural-network simulation transformers transformer multi-modal causal-inference case-study bert causal multimodal multimodal-deep-learning dgp causal-machine-learning beit double-machine-learning doubleml

Updated Jun 20, 2023
Python

harveybc / causal-inference

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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.

python machine-learning ai timeseries deep-learning event-data forecasting plugin-system causal-inference heterogeneous-data lineal-regression meta-learning random-tree outcome-prediction causal-machine-learning double-machine-learning external-plugin pywhy econml

Updated Apr 15, 2026
Python

hcchuang / Revisiting-the-Missing-RD-Patent-Relation_Challenges-and-Solutions-for-Firm-Fixed-Effects-Models

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The repository provides state-of-arts machine-learning approaches to revamping firm fixed effects models in finance studies.

machine-learning stata high-dimensional-data fixed-effects double-machine-learning

Updated Jul 29, 2025
Stata

williantleite / DML_in_Finance

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Master's degree thesis project using Debiased Machine Learning to estimate treatment effects from economic policy in US funds performance.

finance machine-learning causality-analysis double-machine-learning

Updated Jul 27, 2023
Python

tobiasuruali / Causal_MachineLearning

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Causal Machine Learning project analyzing and evaluating different Double ML models for estimating treatment effects in observational data.

r causal-inference mlr3 causal-machine-learning double-machine-learning

Updated May 1, 2023
HTML

Rajveer-code / CATE-HMDA-Heterogeneous-Effects

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Causal Forest DML analysis of racial approval penalties in U.S. mortgage lending | 42M HMDA applications, 2020-2024 | Working paper

python reproducible-research econometrics causal-inference hmda causal-forest double-machine-learning econml mortgage-lending racial-discrimination

Updated May 10, 2026
Jupyter Notebook

SadraDaneshvar / lendingclub-default-risk-screening

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Default-Risk Prediction & Screening at Loan Origination in P2P Consumer Lending, with a Double Machine Learning Extension of the Effects of Longer Terms and High Interest Rates