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

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.

4.8K4.8KJUL 10JUL 31AUG 21SEP 11OCT 2OCT 2: 4,803 stars
Observed days (1)
DayStarsForks
OCT 24,803827