The Omniglot splits with ACAI and BiGAN encodings, MNIST splits with ACAI encodings, and miniImageNet splits with DeepCluster encodings used for the results in the paper are available here. Download and extract the archive's contents into this directory.
The CelebA dataset is not provided because of licensing issues, but code used for the CelebA experiments is still present.
Usage
You can find representative templates of scripts in /scripts. A good one to start with is /scripts/omniglot_kmeans.sh. Metrics can be visualized using Tensorboard. Evaluation results are saved to a .csv file in a run's log folder. All results were obtained using a single GPU.
Credits
The unsupervised representations were computed using four open-source codebases from prior works.