[PyTorch] GANomaly

Implementation of GANomaly with MNIST dataset [TensorFlow Version].

Architecture

Simplified GANomaly architecture.

Graph in TensorBoard

Graph of GANomaly.

Problem Definition

'Class-1' is defined as normal and the others are defined as abnormal.

Results

Restoration result by GANomaly.

Box plot with encoding loss of test procedure.

Environment

• Python 3.7.4
• PyTorch 1.1.0
• Numpy 1.17.1
• Matplotlib 3.1.1
• Scikit Learn (sklearn) 0.21.3

Reference

[1] S Akcay, et al. (2018). Ganomaly: Semi-supervised anomaly detection via adversarial training.. arXiv preprint arXiv:1805.06725.