MakerRelay
+ Submit
← GitHub Trending

GitHub topic

treatment-effects GitHub repositories

Explore 2 tracked GitHub repositories tagged treatment-effects. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 0 stars since the previous daily snapshot.

Tracked repositories
2
Total stars
13,204
Stars gained · 7 days
+19
Stars gained · 30 days
+73

Compare star activity

Up to five projects on this page, ordered by total stars. Open a project for its description and recorded star history.

Swipe to compare all star periods →

Star activity for treatment-effects repositories on this page
RepositoryTotal starsToday7 days30 days
py-why/dowhy8.4K+0+11+45
py-why/EconML4.8K+0+8+28

Explore repositories

Showing 1–2 of 2 tracked repositories.

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.
★ 4.8K+0 todayJupyter Notebook
machine-learningcausal-inference
View ↗