These are results for some CycleGAN experiments.
To see all cyclegan options:
$ python -m smile.models.cyclegan.train --help
$ python -m smile.models.cyclegan.train \
--x-train datasets/celeb/tfrecords/smiling/train/* \
--x-test datasets/celeb/tfrecords/smiling/test/* \
--y-train datasets/celeb/tfrecords/not_smiling/train/* \
--y-test datasets/celeb/tfrecords/not_smiling/test/*
$ python -m smile.models.cyclegan.train \
--x-train datasets/celeb/tfrecords/smiling/train/* \
--x-test datasets/celeb/tfrecords/smiling/test/* \
--y-train datasets/celeb/tfrecords/not_smiling/train/* \
--y-test datasets/celeb/tfrecords/not_smiling/test/* \
--lambda_cyclic 10.0
$ python -m smile.models.cyclegan.train \
--x-train datasets/celeb/tfrecords/smiling/train/* \
--x-test datasets/celeb/tfrecords/smiling/test/* \
--y-train datasets/celeb/tfrecords/not_smiling/train/* \
--y-test datasets/celeb/tfrecords/not_smiling/test/* \
--lambda_cyclic 20.0
$ python -m smile.models.cyclegan.train \
--x-train datasets/celeb/tfrecords/smiling/train/* \
--x-test datasets/celeb/tfrecords/smiling/test/* \
--y-train datasets/celeb/tfrecords/not_smiling/train/* \
--y-test datasets/celeb/tfrecords/not_smiling/test/* \
--adversarial_loss wgan-gp