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.
apic
radcombobox
cesiumjs
yii-migrations
casing
apache-http-server
typescript-module-resolution
siri
address-operator
expo-camera
sql-revoke
apollo-datasource-rest
unbounded-wildcard
tufte
redmine-api
pysmartdl
aurora-near
mbedtls
plt
spring-integration-aws
tvos14
parsehub
iis-8.5
spring-mvc
tkinter.optionmenu
usefaketimers
boost-histogram
koin-scope
particle-system
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