├── .gitignore ├── LICENSE ├── README.md ├── assets ├── demo-data-samples.png ├── o2vae-model.png ├── o2vae-model.svg ├── prealignment-graphic.png ├── representation-sensitivity.svg ├── representation-sensitivity_v2_86ec4e50_crop.gif ├── representation_learning_tasks ├── representation_learning_tasks (1).svg └── representation_learning_tasks.svg ├── configs ├── config_mefs.py └── config_o2mnist.py ├── data ├── README.md ├── datasets.py ├── generate_o2mnist.py ├── mefs │ ├── README.md │ ├── mefs_not_scaled.tar.gz │ ├── mefs_scaled.tar.gz │ └── unzip_mefs.bash └── o2_mnist │ └── README.md ├── environment.yml ├── examples ├── analysis_mefs.ipynb ├── analysis_o2mnist.ipynb └── model_training_o2mnist.ipynb ├── models ├── __init__.py ├── align_reconstructions.py ├── decoders │ └── cnn_decoder.py ├── encoders_o2 │ └── e2scnn.py ├── encoders_vanilla │ └── cnn_encoder.py ├── model_utils.py └── vae.py ├── prealignment ├── README.md └── prealignment.py ├── registration ├── README.md ├── __init__.py └── registration.py ├── requirements.txt ├── run.bash ├── run.py ├── train_loops.py ├── utils ├── __init__.py ├── cluster_utils.py ├── eval_utils.py ├── plotting_utils.py └── utils.py └── wandb └── pretrained_models ├── model_mefs.pt └── model_o2_mnist.pt /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jmhb0/o2vae/HEAD/.gitignore -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jmhb0/o2vae/HEAD/LICENSE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/jmhb0/o2vae/HEAD/README.md -------------------------------------------------------------------------------- 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