This package provides functions associated with anomaly detection, especially related to pytorch.
This package extends the functionality of synthtorch. Some of the models/ideas were used to generate the results of the paper [1].
Note that this was only tested with python v3.6 and v3.7, so there may be incompatibility with previous versions.
- numpy >= 1.15.4
- torch >= 1.0.0
- torchvision >= 0.2.1
python setup.py install
or, if you want to actively develop the package,
python setup.py develop
Unit tests can be run from the main directory as follows:
nosetests -v tests
[1] J. Reinhold, Y. He, Y. Chen, D. Gao, J. Lee, J. Prince, A. Carass. ``Finding novelty with uncertainty.'' Medical Imaging 2020: Image Processing, International Society for Optics and Photonics, 2020.