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.
aws-documentdb
nslog
psychtoolbox
bcc
kubernetes-metrics
jcache
nomenclature
android-layout
unspecified-behavior
scadalts
hover
calculator
uimenuitem
lpad
terraspace
yui2
google-apps-activity
buildconfig
winforms-to-web
faker
incremental-load
zappdev
mathematical-optimization
fillable
bower-install
ml-agent
customlink
find-package
html-pdf
react-google-maps