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Convolutionnal neural networks for humpback whale vocalisations and delphinid whistles
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bibliovid / topic-classifier
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Guyslain Naves / Dissiml
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We proposed a multi-view deep learning framework that allows combining the activation- and connectivity-based fMRI protocols to identify markers of individual differences.
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Pytorch implementation of a CNN detector trained on the Actoustic Trends Blue Fin library dataset
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This repository offers Convolutional Neural Networks (CNN) architectures along with pre-trained weights for the detection of acoustic signals from several cetacean species.
A python interface is also available in order to use them on your own data.
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