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m-pax_lib

Multi-path Explanations Library

74 commitsLast commit ≈ 48 months ago10 stars1 fork

Description

This repository contains a framework which allows for enhanced model interpretability and model robustness. The framework utilizes interpretable disentangled representations for downstream-task prediction which are in a second step visualized and evaluated through a multipath-attribution mapping.

m-pax_lib
Visualizing and interpreting disentangled representations through multipath-attribution maps. © Lukas Klein

Find m-pax_lib on Helmholtz Imaging Connect
Authors: Lukas Klein, João B. S. Carvalho

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Keywords
Programming languages
  • Python 99%
  • R 1%
License
  • Apache License 2.0
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Participating organisations

German Cancer Research Center

Member of community

Helmholtz Imaging Solutions