GitHub intelligence
py-why/ 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 Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Observed OCT 8, 2026 · 00:08 UTC
Facts
- Language
- Jupyter Notebook
- License
- other
- Created
- APR 30, 2018
- Last push
- Last release
- GitHub
- py-why/EconML ↗
Measurements
- Stars
- 4,803
- Forks
- 827
- 7D change
- Collectingfrom OCT 9
- 30D change
- Collectingfrom NOV 1
- 90D change
- Collectingfrom DEC 31
- Velocity
- Collectingfrom OCT 16
- Acceleration
- Collectingfrom OCT 23
- Trajectory
- Collectingfrom OCT 16
- Trending percentile
- Collectingfrom OCT 16
Categories
Technologies
Not linked to any curated technology.
Star history
Daily history began OCT 2. The chart appears after 7 days. 1 observed day shown.
Observed days (1)
| Day | Stars | Forks |
|---|---|---|
| OCT 2 | 4,803 | 827 |