Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

Toolbox for analysis of model's quality and model's description. For further details see

Visual-analytical tools to evaluate and compare the outputs of large numbers of binary classifiers.

Code and Analysis for our paper titled 'Calibration Error Estimation Using Fuzzy Binning'