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EconML
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EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machi

by py-why · GitHub
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causal-inferencecausalityeconometricsJupyter Notebook
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In plain words

Estimate the effects of different treatments on economic outcomes using advanced machine learning methods.

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2026-07-042026-08-31
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📄 About

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machi

EconML has 4.7k stars on GitHub. It has been forked 817 times. EconML is written mainly in Jupyter Notebook. It has been in active development since 2018. Its main topics are causal-inference, causality, econometrics, economics.

Frequently asked questions

What is EconML?

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machi

Is EconML open source?

EconML is an open-source project.

Is EconML free?

Yes. EconML is free and open source — you can use, modify and self-host it.

What language is EconML written in?

EconML is written mainly in Jupyter Notebook.

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