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#

explainable-deepneuralnetwork

Here are 20 public repositories matching this topic...

This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.

  • Updated Jul 1, 2022
  • Jupyter Notebook

Sensor selection for process monitoring based on deciphering acoustic emissions from different dynamics of the Laser Powder Bed Fusion process using Empirical Mode Decompositions and Interpretable Machine Learning

  • Updated Sep 10, 2023
  • Python

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