Jupyter Notebook treatment-effects

Open-source Jupyter Notebook projects categorized as treatment-effects
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Topics: Machine Learning Economics Causality Econometrics causal-inference
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Jupyter Notebook treatment-effect Projects

  • 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 machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Index

Project Stars
1 EconML 3,550

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