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.
aws-rest-api
shadow-root
nginx-upstreams
nutanix
couchdb-3.x
tofixed
winpexpect
ldap3
placeautocompletefragment
elasticsearch-watcher">elasticsearch-watcher
isolation-level
elasticsearch-bulk">elasticsearch-bulk
signalr-service
stringbuilder
vector-graphics
selectoneradio
oop
filter-repo
google-play-console
save
critical-region
notin
dynamic-data
solidworks
axlsx
vxworks
powercfg
cypher-3.1
dynamic-web-twain
exp