https://github.com/yeonghyeon/memae-tf2
TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"
https://github.com/yeonghyeon/memae-tf2
anomaly-detection augmentation convolutional-neural-network convolutional-neural-networks deep-learning memorizing memory-augmentation mnist-dataset tensorflow tensorflow2
Last synced: about 1 month ago
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TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"
- Host: GitHub
- URL: https://github.com/yeonghyeon/memae-tf2
- Owner: YeongHyeon
- License: mit
- Created: 2020-02-20T14:01:59.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-06-11T07:00:37.000Z (almost 2 years ago)
- Last Synced: 2025-04-04T16:42:33.943Z (about 2 months ago)
- Topics: anomaly-detection, augmentation, convolutional-neural-network, convolutional-neural-networks, deep-learning, memorizing, memory-augmentation, mnist-dataset, tensorflow, tensorflow2
- Language: Python
- Homepage:
- Size: 736 KB
- Stars: 25
- Watchers: 2
- Forks: 5
- Open Issues: 0