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.
n-api
m3u8
object-construction
command-pattern
xdgutils
android-managed-profile
rsocket
callback
toml
function-signature
flops
requestly
boost-spirit-qi
calculator
framerjs
pymodis
export-to-pdf
moby
xcode6-beta6
ruby-on-rails-4.1
terraform-provider-oci
linear-programming
calibration
avif
xcsettings
printscreen
pycharm
xcarchive
callouts
redux-form-validators