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.
react-icons
tritonserver
jnlp
liferay-dxp
transient
onscrollchanged
nssortdescriptor
google-maps-embed
filemaker
rego
phone-number
capstone
azure-cosmosdb-tables
svgpanzoom
xrdp
netbeans-8.2
firefox-headless
webgrabber
colorize
ruta
uni-app
cfc
mediarecorder-api
plunit
fetchcontent
typeddict
porter-duff
korn
vob
npm-install