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.
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wordle-word-cloud
gcallowverylargeobjects
export-csv
navigationbar
mdx
winpcap
ollydbg
mvvm-toolkit
mkuserlocation
lithium
kovan
pythonqt
cvx
svggraph
step-through
resharper-plugins
git-ls-files
outlook-2010
code-rally
cdi
titanium
jcifs
pydictionary
scala-gatling
sequelpro
catia
lokalise
x-dwm
microsoft-metro