This repo contains code to estimate uncertainty in deep learning models. It has basic implementations for:
- Monte Carlo Dropout [Kendall and Gal], [Gal and Ghahramani]
- Model Ensembling [Lakshminarayanan et al. ]
Article: Overview of estimating uncertainty in deep neural networks