philine-bommer's repositories
Climate_X_Quantus
This repository contains the code and packages to reproduce all experiments in "Finding the right XAI Method --- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science" by Bommer et. al.
ClimateInformatics2022
Solution for the Hackathon Task of seasonal draught prediction for Africa. Group Members: Helge Mohn, Kenza Tazi, Philine Bommer
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philine-bommer
Config files for my GitHub profile.
QuantusClimate
Climate XAI edit of Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
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v162
Proceedings of ICML 2022
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