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.
elgg
service-composition
mysql-error-1093
github-desktop
sonarjs
audioinputstream
google-cloud-powershell
azure-devops-deploymentgroups
erwin
django-custom-user
foalts
ropc
serenity-bdd
trayicon
momentjs
gmail-imap
grpc-ruby
procfs
bigquery-udf
self-updating
azure-service-fabric
livenesprobe
fivetran
readprocessmemory
strongly-connected-graph
javacard
heroku-review-app
istio-gateway
email-parsing
graph-traversal