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.
spinalhdl
pyvista
auto-value
qmutex
boost-asio
word-contentcontrol
dbconnect
irfanview
crc64
system-calls
azul-zulu
pheanstalk
linguistics
debouncing
winium
angular-compiler
modernizr
react-sticky
auto-vectorization
libs
bbcode
widdershins
gitlens
collectionview
rule
memorycache
jogl
http-code-500
iis-handlers
nightwatch