The implementation of the Conditional Adversarial Autoencoder for age progression/regression found in:
http://web.eecs.utk.edu/~zzhang61/docs/papers/2017_CVPR_Age.pdf
In order to train the architecture you should run upload.py file which uploades all the scripts and notebooks to Google Drive. In order to see possible terminal options run:
python upload.py --help
Link to download UTKFace dataset:
https://drive.google.com/drive/folders/0BxYys69jI14kU0I1YUQyY1ZDRUE