# py-why/EconML — RepoVerse

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

URL: https://repoverse.app/cards/131646318

[Repository source](https://github.com/py-why/EconML)

## Card snapshot

- Edition: Genesis
- Rarity: common
- Finish: Base
- Attack: 5295
- Defense: 5747
- GitHub stars: 4822
- GitHub forks: 832
- Language: Jupyter Notebook
- Category: AI Pioneers
- Snapshot date: 2026-10-22

These repository statistics and game attributes belong to this dated card snapshot. They are not a current assessment of software quality.

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