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A Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization.
A Python library for natural gradient boosting, a powerful technique for probabilistic prediction.
A curated list of resources for the Conformal Prediction machine learning technique.
A Python package for uncertainty quantification and hallucination detection in large language models (LLMs)
Lightweight implementation of conformal prediction, a method for uncertainty estimation in machine learning.
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