This is my Minimal PyTorch implementation for Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection (DAGMM, ICLR 2018)

Results

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