/cira_uq4ml

Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere

Primary LanguageJupyter NotebookMIT LicenseMIT

Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere

This repository is a companion to the following journal paper:

Ebert-Uphoff, I., R. Lagerquist, K. Haynes, M. McGraw, and K. Musgrave, 2022: "Methods to evaluate uncertainty estimates provided by neural networks in environmental science applications." Artificial Intelligence for the Earth Systems, under review.

Colab notebook for quantile regression
Colab notebook for Monte Carlo dropout

Colab notebook for Continuous Rank Probability Score (CRPS) Loss
Colab notebook for regression tasks

Notes from Ryan to all: I will remove these Colab links once I'm sure that we don't need them anymore.