v0.1.1

EQUI(NE)^2 (equine): Establishing Quantified Uncertainty for Neural Networks

The goal of this package is to make it simple to add modern uncertainty quantification (UQ) techniques to existing PyTorch models to produce label predictions with calibrated probabilities and out-of-distribution indicators.