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A collection of infrastructure and tools for research in neural network interpretability and visualization.
A PyTorch adaptation of Lucid for visualizing and interpreting neural networks through feature visualization.
MATLAB code for inverting deep neural network representations to visualize and understand learned features from CVPR 2015.
Auralisation tool for visualizing learned features in convolutional neural networks applied to audio spectrograms.
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