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.
dapper
stat
little-o
pdfkit
github-organizations
swift5
jvectormap
pytest-parallel
react-localization
interior-mutability
braille
template-instantiation
imagelibrary
hdpi
cakedc
claims-based-identity
android-orm
nodemon
ray-picking
shared-data
flask-wtforms
dynamics-ax7
reportbuilder3.0
qwik
elasticsearch-high-level-restclient
frameless
google-cloud-language
qicon
scrapinghub
combinelatest