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.
chart.js3
redcap
qidentityproxymodel
amasty
system-identification
unwrap
sigbus
eclipse-pdt
sikuli-x
omnipay
dask-dataframe
missing-data
ifc
input-filtering
binding.pry
js-scrollby
testcafestudio
ureq
lte
kafka-cluster
github-app
statusbar
ilmerge
springmockito
buffer-geometry
refinitiv-eikon
virtual
cocor
google-app-engine
vote-up-buttons