This is a pytorch implementation of the model Deep Reconstruction-Classification Network for Unsupervised Domain Adapation (DRCN).

Environment

put the mnist and svhn data in the entries in dataset, respectively
if there is no Grayscale transform in your torchvision, please replace your functional.py and transforms.py with provided files in extra
run python main.py for training
the trained model will be saved in model, and recontructed images saved in recovery_image
In our implementation, no denoising include

Real and Recovered SVHN images