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.
bndtools
receipt-validation
content-length
telescope
trailblazer
computability
codecompare
query-builder
bug-reporting
aac
corpus
svelte-testing-library
totp
typescript-declarations
delphi-7
swipeview
nosetests
jquery-ui-sortable
pathinfo
salesforce-mobile-sdk
wxmaxima
source-map-loader
css-specificity
google-fitness-api
gemalto
google-chat
unowned-references
gui-designer
windowserror
mybinder