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
- machine-learning
- economics
- causal-inference
- causality
- econometrics
- treatment-effects
- Stars
- 4,805
- Forks
- 829
- + today
- +1
- Created
- 8y
Ranking data as of October 5, 2026 (UTC).
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Overview
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 It ranks #3100 on GitTiger, gaining +1 star on October 5, 2026 (UTC).
The project is written in Jupyter Notebook and has 829 forks. It was created 8y ago.
git clone https://github.com/py-why/EconML.git
cd EconML
# see README for setup