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.
bsdiff
fuzzy-comparison
graphql-go
aes
ora-17004
react-state-management
fts3
urlopen
ptv-vissim
qsqlquerymodel
std-function
translucency
brms
computer-science-theory
visual-artifacts
modelr
javaapplicationstub
showtext
react-router-v4
fatbin
guard-statement
jawsdb-maria
wdl
scikit-image
hero
ammonite
post-update
angular-errorhandler
details-tag
scalr