double-machine-learning 开源项目推荐（95 个）

DoubleML /doubleml-for-py

DoubleML - Double Machine Learning in Python

brycewang-stanford /StatsPAI

StatsPRI是第一个用于因果推理和应用计量经济学的代理原生Python库-统一API、广泛的跨方法覆盖范围、结构化结果对象、机器可读模式、技能、HCP服务器和R/Stata平价验证。

DoubleML /doubleml-for-r

DoubleML - Double Machine Learning in R

google /doubleml-pipeline

Automated Double Machine Learning (DoubleML + AutoML) pipeline for causal inference — estimate incremental impact, CATE & ROI of promotions, pricing and media.

dcacciarelli /market-impact-renewables

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

dscolby /CausalELM.jl

Taking causal inference to the extreme!

causalis-causalcraft /Causalis

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

carloscinelli /dml.sensemakr

Sensitivity analysis tools for causal ML

Trhova /Causal-Microbiome-Omics

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.

DoubleML /doubleml-serverless

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

DoubleML /doubleml-coverage

Coverage Simulations for DoubleML package

harveybc /causal-inference

Experimental causal-inference research on financial regimes: PCMCI+, ICP and causal forests over market data (work in progress)

JanTeichertKluge /DMLSim

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

lcx0731 /doubly-robust-causal-lab

Cross-fitted AIPW causal inference with transparent simulation diagnostics

williantleite /DML_in_Finance

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

felipeandrade91 /causal-inference-experimentation

Practical causal inference project evaluating the incremental impact of digital advertising using A/B testing, observational methods, Double Machine Learning, and heterogeneous treatment effects.

maxime2476 /causal-impact-lab

Causal effect of contractionary US monetary policy shocks on US employment.

Rajveer-code /CATE-HMDA-Heterogeneous-Effects

Archived (Oct 2026): rejected; misread HMDA credit-score and AUS fields, see correction notice. Superseded by hmda-racial-disparities.

masonrhayes /BayesianDoubleML.jl

An implementation of Bayesian Double Machine Learning (BDML) models as per DiTraglia and Liu 2025: https://arxiv.org/abs/2508.12688 and Antonelli et al 2022: https://doi.org/10.1111/biom.13417

navidgh66 /omni_proof

Open-source causal-multimodal engine for creative attribution. Answers why a creative works — not just which one performed better — using Gemini Embedding 2, DoWhy, and EconML.