Causality and Machine Learning

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DoWhy: A library for causal inference 

2021年5月

As computing systems are more frequently…

Github 为 DoWhy: A library for causal inference

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

2019年7月

EconML is a Python package for estimatin…

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

Project Azua: Data efficient decision making 

2021年9月

Many modern AI algorithms are known to b…

Github 为 Project Azua: Data efficient decision making

RobustDG 

2020年7月

RobustDG is a library of ML models that …

Github 为 RobustDG

DiCE: A library for generating Diverse Counterfactual Explanations 

2021年11月

DiCE is a Python library that can genera…

Github 为 DiCE: A library for generating Diverse Counterfactual Explanations

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

2020年10月

Implementation of “Debiasing Item-to-Ite…

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

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

2017年4月

This data set consists of the tweet IDs …

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