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Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments
Uncertainty Estimates
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
Regression
- MC Dropout Regression
- Ensemble Regression
Classification
- MC Dropout Classification
- Ensemble Classification