https://github.com/yeonghyeon/conad-pytorch
Implementation of Consistency-based anomaly detection (ConAD)
https://github.com/yeonghyeon/conad-pytorch
anomaly-detection auto-encoder convolutional-neural-networks generative-adversarial-network mnist-dataset
Last synced: 6 months ago
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Implementation of Consistency-based anomaly detection (ConAD)
- Host: GitHub
- URL: https://github.com/yeonghyeon/conad-pytorch
- Owner: YeongHyeon
- License: mit
- Created: 2019-11-19T07:40:10.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-11-22T08:23:34.000Z (almost 6 years ago)
- Last Synced: 2023-04-30T10:40:45.225Z (over 2 years ago)
- Topics: anomaly-detection, auto-encoder, convolutional-neural-networks, generative-adversarial-network, mnist-dataset
- Language: Python
- Homepage:
- Size: 2.58 MB
- Stars: 7
- Watchers: 3
- Forks: 1
- Open Issues: 0