PyTorch implementation of Attentive Recurrent Comparators by Shyam et al.
A blog explaining Attentive Recurrent Comparators
python download_data.py
A one-time 52MB download. Shouldn't take more than a few minutes.
python train.py --cuda
Let it train until the accuracy rises to at least 80%
python viz.py --cuda --load 0.13591022789478302 --same
Run with exactly the same parameters as train.py and specify the model to load. Specify "--same" if you want to generate a sample with same characters in both images.