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alipy icon alipy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

dcgan-pytorch icon dcgan-pytorch

This is an implementation of the paper 'Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks' in pytorch. See

faal icon faal

Code for the article 'Hyperspectral Image Classification with Feature-Oriented Adversarial Active Learning'.

gal icon gal

Code for the article 'Delving into Classifying Hyperspectral Images via Graphical Adversarial Learning'.

gmmn-pytorch icon gmmn-pytorch

This is a simple implementation of the ICML2015 paper ‘Generative Moment Matching Networks’ in pytorch. See

hybridsn icon hybridsn

Code for 'HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification'. See

pix2pixhd icon pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

wgan-pytorch icon wgan-pytorch

This is an implementation of the paper 'Wasserstein GAN' in pytorch. See

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