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genpark-propensity-score-inverse-probability-weighting-skill

GenPark AI Agent Skill - Propensity score matching and Inverse Probability Weighting (IPW) estimator calculating Average Treatment Effect (ATE) under conditional ignorability.

Details

External ID
1362866633
Source
GITHUB
Company
—
Product
genpark-propensity-score-inverse-probability-weighting-skill
Website domain
github.com
Launched
Sept. 9, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.14514476044068664
Tags
agentic-ai, causal-inference, counterfactuals, do-calculus, genpark-skill, instrumental-variables, mcp, propensity-score, python-stdlib, structural-causal-models
Fetched at
Sept. 13, 2026, 5:57 p.m.
Updated at
Sept. 13, 2026, 5:57 p.m.

Enrichment

Theme
specialized AI models and agent reasoning tools
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
propensity score and inverse probability weighting skill for ai agents
Manually corrected
False

Could you build this?

Yes Propensity score matching and IPW estimators are standard statistical recipes available in Python libraries like Statsmodels, CausalInference, or scikit-learn that can be easily vibe-coded into an agent tool.

Competitors

Other products that read as similar to this one — 215 launches clear the similarity bar, closest 8 shown.

Attention rank: #16 of 216 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 143 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.