TF 2.0 - Keras implementation of MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.
Detail of the research (including the Pytorch source):
Requirement:
- Python 3.6
- Tensorflow 2.0