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.
eflags
shared-ptr
chartjs-plugin-annotation
trongrid
feathersjs
aspxlistbox
titan
ctree
packed
azure-ddos
hook-wordpress
powerbi-datasource
libmysql
nvidia-jetson
matcher
monkeyc
const-correctness
tablelayout
elastic-map-reduce
data-mining
google-cloud-trace
vite-plugin-svg-icons
flask-caching
parameter-passing
kotlin-when
methodology
geom-bar
pdftk
mjpeg
clojure-core.logic