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

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

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