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.
wifip2p
texture-atlas
ecmascript-2020
latency
code-search
isnumeric
office-store
skip
sitescope
react-data-table-component
data-integration
polybase
eway
code-reuse
bsdiff
sigbus
control-statements
openacc
lattice
svn-merge
titanium-android
jmeter-5.0
unwrap
markov-chains
qtcpserver
r-glue
facebook-sdk-3.1
uideviceorientation
numeric
lostfocus