webpage CANA team, LIS.

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

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.

Scripts used in Lehnhoff et al., 2022.

Bundled code for experiments reproducibility

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

ARMILU (Abstract Representation for Multi-Intent spoken Language Understanding) format of the MultiWOZ2.3 corpus

FO-model checking of superlinear transductions with origin MSO interpretations, SSTs, pebbles transducers

Transition based Dependency parsing with reinforcement learning. With backtracking.

This project contains the public version of the CALOR-DIAL corpus

This Python package implements algorithms for multiviews (multimodals) learning

Generator of simulated multiviews dataset

this is MORSTS with some data for demo

ARMILU format of the MultiWOZ2.3 corpus