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: 2 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 (about 5 years ago)
• Default Branch: master
• Last Pushed: 2019-11-22T08:23:34.000Z (about 5 years ago)
• Last Synced: 2023-04-30T10:40:45.225Z (over 1 year 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

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