Causal Inference with Meta Learners This repository contains experiments and implementations related to Causal Inference using Meta Learners, including T-Learner, S-Learner, X-Learner, and R-Learner. The focus is on estimating heterogeneous treatment effects (HTE) and evaluating different methodologies on synthetic and real-world datasets.
active 2025-02-21 → 2025-02-26 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 6 days from 2025-02-21 to 2025-02-26. Pushes: 11 total, peak 5 in a day. Pull requests: 3 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
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- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| bhavna-sinha | 14 | 11 | 3 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.