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.
execcommand
field-description
jenkins-x
flamerobin
reducers
facet-grid
word-table
menustrip
search-engine-api
cloning
xamarin.shell
boost-log
future-proof
nsinvocation
uitextchecker
xlink
getimagedata
aws-neptune
argb
eager-execution
structured-data
rm
ntfs-mft
case-when
flesch-kincaid
solrcloud
subshell
multibyte-functions
sql-server-data-tools
resharper-sdk