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Implementation and data to reproduce experiments conducted for the paper named "Explaining Defect Detection with Saliency Maps" submitted to IEA/AIE 2021.
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Code to reproduce Pytorch and Tensorflow experiments presented in the paper "CalcGraph: Taming the high costs of deep learning using models" submitted to SoSyM journal.
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A PyTorch-based library for semi-supervised learning (NeurIPS'21)
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