one-june / robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

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Environment Setting

pip install -e . pip install cox

Train classifier (e.g. Pneumonia classifier)

python train_robust_classifier.py --mimic_path /PATH/TO/MIMIC/DIRECTORY --target labels "Pneumonia" "No Finding" --balance_labels True Right now, only binary classification (ie, two targets) is possible.

About

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

License:MIT License


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Language:Jupyter Notebook 93.5%Language:Python 6.5%