This is my Minimal PyTorch implementation for Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection (DAGMM, ICLR 2018)
This implementation achieves similar results as the original paper.
KDD99Cup:
| Precision | Recall | F1-score | |
|---|---|---|---|
| Paper | 0.9297 | 0.9442 | 0.9369 |
| This Implementation | 0.9561 | 0.9306 | 0.9432 |