https://github.com/yeonghyeon/memae
Implementation of Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection.
https://github.com/yeonghyeon/memae
anomaly-detection augmentation convolutional-neural-network convolutional-neural-networks deep-learning memorizing memory-augmentation mnist-dataset tensorflow tensorflow1
Last synced: 24 days ago
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Implementation of Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection.
- Host: GitHub
- URL: https://github.com/yeonghyeon/memae
- Owner: YeongHyeon
- License: mit
- Created: 2020-02-11T08:34:40.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-01-14T23:59:32.000Z (over 4 years ago)
- Last Synced: 2023-04-30T10:40:45.786Z (about 2 years ago)
- Topics: anomaly-detection, augmentation, convolutional-neural-network, convolutional-neural-networks, deep-learning, memorizing, memory-augmentation, mnist-dataset, tensorflow, tensorflow1
- Language: Python
- Homepage:
- Size: 1.39 MB
- Stars: 7
- Watchers: 3
- Forks: 3
- Open Issues: 0