GANomaly-PyTorch
GANomaly-PyTorch copied to clipboard
Implementation of GANomaly with MNIST dataset
[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.