This repository introduces an adaptive formula inspired by the CHSH logic, designed to evaluate, test, and improve model performance across multiple conditions. By adapting CHSH principles into a flexible structure, it provides a systematic way to analyze results, ensure reliability, and explore deeper insights in experimentation.
machine-learning machine-learning-algorithms research-tool uncertainty-estimation probabilistic-modeling machine-learning-projects drift-detection out-of-distribution-detection uncertainty-estimations research-toolbox research-tools research-tooling adaptive-calibration lightweight-implementation chsh-adaptive apex-elite formula-research
-
Updated
Aug 27, 2025