Implementation of A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018).

numpy==1.14.1
scikit_image==0.13.1
scipy==1.0.0
tensorflow_gpu==1.6.0
tensorbayes==0.4.0

Download scripts for MNIST and SVHN provided in ./data/.

Run VADA

python run_dirtt.py --datadir data --run 0 --src mnist --trg svhn --dirt 0

Run DIRT-T (pre-condition: run VADA first)

python run_dirtt.py --datadir data --run 0 --src mnist --trg svhn --dirt 500

Tensorboard logs will be saved to ./log/ by default.