Other resources
py-why/EconML — AI/Bot Repository
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.
Provider: py-why (GitHub owner). GitHub repository metadata; provider website and service not independently reviewed.
View public repository ↗- Best suited to
- Exploring public AI and bot repository documentation
- Owner next step
- Review the source, required permissions and current terms before connecting.
- Access
- Credentials or local installation may be required. Read the source documentation.
- Cost
- Check current provider terms. Provider pricing has not been independently checked. Review current terms.
- Interfaces
- Website
- Source evidence
- Official public source · Repository snapshot 2026-11-03 · GitHub ID 131646318 · py-why/EconML. Public, nonarchived, nonfork and nonempty repository metadata was returned during source collection; this is not a provider, pricing, safety or compatibility review.
- Metadata screening
- Metadata screened 2026-11-03. Public repository metadata available 2026-11-03. Screening scope and limits. Publisher metadata remains untrusted; this is not a security audit or compatibility test.
- Traffic and availability
- Not monitored. Bot visits, citations, uptime and successful delivery have not been measured by this directory.
Listing content is informational. Inclusion does not authorize installation, changes to your site, or payment. Check current provider terms and access policies.