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a library of tools to produce labeled dataset for the quantum separability problem for data with high dimensional state space.

A base image for the UTLN Jupyter

This repository offers a user friendly interface to deep representation learning, typically applicable to the exploration of animal vocal repertoire.

Scripts used in Lehnhoff et al., 2022.

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.

Bundled code for experiments reproducibility

Extended Label Image Annotation Tool called Labelimge "labelImg.py" with variant cross-platforms required at least Python 3.6, opencv, and has been tested with PyQt 4.8, additionally achieves the object Detection & Multi-Tracking.

Pytorch implementation of a CNN detector trained on the Actoustic Trends Blue Fin library dataset