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agency-jekyll-theme

Agency Theme for Jekyll

arnn

avgn

A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.

biologicallyplausiblelearningrnn

birdsong

birdsong-generation-project

Generating birdsong with WaveNet

birdsongbout

Routines for data handling in a bout annotation project

canary-vocal-sensorimotor-model

Vocal learning model with RNN Decoder and Low-dimensional GAN Generator

ccg2lambda

Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.

coglabdx.github.io

Site web du coglab bordelais.

coursmastersciencescognitives

Materiel pour le cours de deep learning pour le master de sciences cognitives (2018)

covid19-rnn-prediction

Prediction on COVID-19 variables (nr of cases, new cases, cured, ...) with Recurrent Neural Networks (RNNs)

csl-bgm

Cross-Situational Learning with Bayesian Generative Models for Multimodal Category and Word Learning in Robots

datasurvey

Datas from lucid dream survey

dinhhinaut2020-icdl

Conference paper and supplementary material of Dinh & Hinaut, ICANN 2020.

dual_path

dualrc_codes

Neural network model for chunking written in Python 3.

echorob

Recurrent Neural Network for Syntax Learning with Flexible Representations for Robotic Architectures

echozic

EchoZic : projet de sonification de Reservoirs - Hackathon Hack1robo à Cap Sciences les 9-11 Février 2024

ephys-analysis

Scripts and utilities for processing electrophysiology data

er-mrl

Code for the paper "Evolving Reservoirs for Meta Reinforcement Learning"

esn-lm

Training neural language models based on Echo State Networks with different readout functions.

esn-vs-lstm-on-cross-situationnal-learning

ferte2024icml_highdimensionreservoir

goudarbuonomano2018-replication-paul-croizet

hebbianmetalearning

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

hinaut.github.io

Xavier Hinaut's academic website

hinaut2018_icdl-epirob

Supplementary material of (Hinaut, 2018) to be published in Proceedings of ICDL-epirob, September 2018, Tokyo, Japan

hinautdominey2013_plos_one

Source code concerning the paper Hinaut & Dominey, PLoS ONE 2013

homepage

Homepage at http://www.labri.fr/perso/nrougier/