nimble
Local typed decisions and contrastive data curation for model evaluation
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Nimble is a tool for making local typed decisions and performing contrastive data curation. It supports model evaluation workflows with structured, type-safe decision-making capabilities.
Designed for developers working with machine learning models, Nimble provides utilities for curating evaluation datasets through contrastive approaches and assessing model performance with typed, reproducible decision logic.
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