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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

deepcore

Code for coreset selection methods

deephyperx

Deep learning toolbox based on PyTorch for hyperspectral data classification.

disir

Deep Image Segmentation with Interactive Refinement

eogt

fast-individual-gradients-with-autodiff

formation_pytorch_omp

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

landcover

Land Cover Mapping

middleman-ubac

mine-pytorch

Mutual Information Neural Estimation in Pytorch

p3vae

Repository for the paper "p3VAE: a physics-integrated generative model. Application to the semantic segmentation of optical remote sensing images".

plot

probai

qgis-temporal-profile

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

rate_my_book

romain3ch216.github.io

semi-supervised-pytorch

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

sir

ss-infogan

Semi-supervised InfoGAN

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.

topological-autoencoders

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

toulouse.dataset