Causality and Machine Learning

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DoWhy: A library for causal inference 

5月 2021

As computing systems are more frequently…

Github for DoWhy: A library for causal inference

EconML: A Python Package for ML-Based Heterogeneous Treatment Effects Estimation 

7月 2019

EconML is a Python package for estimatin…

Github for EconML: A Python Package for ML-Based Heterogeneous Treatment Effects Estimation

Project Azua: Data efficient decision making 

9月 2021

Many modern AI algorithms are known to b…

Github for Project Azua: Data efficient decision making

RobustDG 

7月 2020

RobustDG is a library of ML models that …

Github for RobustDG

DiCE: A library for generating Diverse Counterfactual Explanations 

11月 2021

DiCE is a Python library that can genera…

Github for DiCE: A library for generating Diverse Counterfactual Explanations

Debiasing Item-to-Item Recommendations With Small Annotated Datasets Release 

10月 2020

Implementation of “Debiasing Item-to-Ite…

Github for Debiasing Item-to-Item Recommendations With Small Annotated Datasets Release

Longitudinal Tweet ID dataset for a selection of Health, Social, and Business Experiences 

4月 2017

This data set consists of the tweet IDs …

Access for Longitudinal Tweet ID dataset for a selection of Health, Social, and Business Experiences