Computo's repositories
computo-quarto-extension
Quarto extension for Computo template
template-computo-R
Computo template and documentation for R users
published-202204-deeplearning-occupancy-lynx
"Trade-of between deep learning for species identication...", by Olivier Gimenez et al
template-computo-python
Computo template and documentation for Python users
published-202505-ferte-reservoirnet
Reservoir Computing in R: a Tutorial for Using reservoirnet to Predict Complex Time-Series
published-202509-boulet-simulator
Using neural networks to build more realistic simulation schemes for causal analysis
template-computo-julia
Computo template and documentation for Julia users
computorg.github.io
source of the organisation website
published-202301-chagneux-macrolitter
Macrolitter video counting on riverbanks using state space models and moving cameras
published-202507-jacques-count-data
Model-Based Clustering and Variable Selection for Multivariate Count Data
published-paper-tsne
A prototype of published Computo paper (using quarto)
published-202312-favrot-hierarchical
A hierarchical model to evaluate pest treatments from prevalence and intensity data
computorg-new.github.io
source of the organisation website
published-202301-boulin-clayton
"A Python Package for Sampling from Copulae: clayton", by Alexis Boulin
published-202306-sanou-multiscale_glasso
Inference of Multiscale Gaussian Graphical Models
published-202311-delattre-fim
Computing an empirical Fisher information matrix estimate in latent variable models through stochastic approximation
published-202401-adrat-repulsion
Point Process Discrimination According to Repulsion
published-202402-lefort-peerannot
Peerannot: classification for crowdsourced image datasets with Python
published-202406-pishchagina-change-point
Geometric-Based Pruning Rules for Change Point Detection in Multiple Independent Time Series
published-202407-legrand-wildfires
Bayesian spatiotemporal modelling of wildfire occurrences and sizes for projections under climate change
published-202412-ambroise-spectral
Spectral Bridges: Scalable Spectral Clustering Based on Vector Quantization
published-202510-durand-fast
Computo submission of a paper about a new and fast algorithm to compute a curve of confidence upper bounds for the False Discovery Proportion using a reference family with a forest structure
published-paper-tsne-R
A prototype of published Computo paper (using quarto) (R version)
roweb3
rOpenSci website source