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.
jsp
ef-postgresql
dl4j
froala
android-textwatcher
day-cq
android-recents
specman
firebase-queue
comorbidity
rsyslog
plotly.net
ggiraphextra
dokuwiki
variable-product
python-on-whales
aleph.js
ternary-tree
wordpress-action
xcode4.4
linkedblockingqueue
mic-1
double-double-arithmetic
prisma-binding
sqlite-net
page-index-changed
xposed-framework
genetic-algorithm
adhoc
runge-kutta