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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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This repository offers a user friendly interface to deep representation learning, typically applicable to the exploration of animal vocal repertoire.
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This project contains the public version of the CALOR-DIAL corpus
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Stephane Grandcolas / pace-2020
MIT LicenseA program to search a good treedepth decomposition of a graph.
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Luc Giffon / deepstrom_network
MIT LicenseDeuxième repo avec le contenu du projet nystrom adaptatif
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ARMILU (Abstract Representation for Multi-Intent spoken Language Understanding) format of the MultiWOZ2.3 corpus
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Valentin Emiya / skpomade
GNU General Public License v3.0 onlyPython implementation of algorithms from paper Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions, by N. Halko, P. G. Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011.
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