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.
pinchzoom
simd
rentrez
a-star
paypal-buttons
xeon-phi
chaincode
rpgle
unicode-normalization
mantissa
split
google-photos-api
brute-force
extrinsic-parameters
6lowpan
sparql
dev-null
unform
capped-collections
apiclient
quotaguard
cnf
gretty
jsonpath-ng
stackalloc
sprite
scikit-build
test.check
css-tables
here-maps-rest