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.
python-descriptors
zerotier
signal-processing
html5-fullscreen
actions-on-google
qtremoteobjects
jar
sonarlint
android-jetpack-compose-scaffold
ibm-cloud-tools
razzle
asp.net-core-cli
spring-vault
dynamic-dll-import
cryptojs
spring-cloud-skipper
betareg
icloneable
service-application
resource-scheduling
vmd
qtopengl
nodegit
uinib
approximation
sockjs
pbm
json-normalize
scholar
dart-server