Romain3Ch216

adversarial-example

Crafting Adversarial Examples with PyTorch

AL4EO

Active Learning Toolbox for Earth Observation Data

Automatique

baal

Library to enable Bayesian active learning in your research or labeling work.

backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

p3VAE

Repository for the paper "p3VAE: a physics-integrated generative model. Application to the pixel-wise classification of hyperspectral images".

rate_my_book

tlse-experiments

Code to reproduce the experiments of the paper: Toulouse Hyperspectral Data Set, a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques

TlseHypDataSet

A Python library to flexibly load PyTorch datasets and run machine learning experiments on the Toulouse Hyperspectral Data Set.

Romain3Ch216/p3VAE

Repository for the paper "p3VAE: a physics-integrated generative model. Application to the pixel-wise classification of hyperspectral images".

Romain3Ch216/TlseHypDataSet

A Python library to flexibly load PyTorch datasets and run machine learning experiments on the Toulouse Hyperspectral Data Set.

Romain3Ch216/AL4EO

Active Learning Toolbox for Earth Observation Data

Romain3Ch216/tlse-experiments

Code to reproduce the experiments of the paper: Toulouse Hyperspectral Data Set, a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques

Romain3Ch216/deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

Romain3Ch216/adversarial-example

Crafting Adversarial Examples with PyTorch

Romain3Ch216/Automatique

Romain3Ch216/baal

Library to enable Bayesian active learning in your research or labeling work.

Romain3Ch216/backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

Romain3Ch216/DeepCore

Code for coreset selection methods

Romain3Ch216/DeepHyperX

Deep learning toolbox based on PyTorch for hyperspectral data classification.

Romain3Ch216/DISIR

Deep Image Segmentation with Interactive Refinement

Romain3Ch216/EoGt

Romain3Ch216/fast-individual-gradients-with-autodiff

Romain3Ch216/firefront

ForeFire is an open-source code for wildland fire spread models

Romain3Ch216/formation_pytorch_omp

Formation Pytorch à l'Observatoire Midi-Pyrénées - les bases pour être autonome

Romain3Ch216/landcover

Land Cover Mapping

Romain3Ch216/middleman-ubac

Romain3Ch216/mine-pytorch

Mutual Information Neural Estimation in Pytorch

Romain3Ch216/plot

Romain3Ch216/ProbAI

Romain3Ch216/pyForeFire

forefire python / numpy bindings

Romain3Ch216/qgis-temporal-profile

A QGIS plugin interactive plotting of temporal or spectral information stored in multi-band rasters.

Romain3Ch216/Romain3Ch216.github.io

Romain3Ch216/semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

Romain3Ch216/SIR

Romain3Ch216/ss-infogan

Semi-supervised InfoGAN

Romain3Ch216/topological-autoencoders

Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.

Romain3Ch216/toulouse.dataset

Romain3Ch216/wildfire_ROS_models

A library of fire models such as defined in their reference paper, with reference implementation, test suite, and standard fuels