I'm implementing the basic architecture from this paper: https://arxiv.org/pdf/1705.08260.pdf in PyTorch. It consists of an autoencoder and Spatial Transformer.
render.com
aegir
node-forge
split-button
circleci-workflows
css3pie
google-2fa
ion-item
asp.net-mvc-5.2
qtabbar
react-instantsearch
html-entities
xcode8
laravel-auditing
shell-exec
java.util.calendar
java-nio
esquery
android-sms
fault-tolerant-heap
hikvision
android-jacoco
icns
react-native-listview
fastmm
csvhelper
hpa
html.textboxfor
spring-cloud-connectors
buildship