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https://github.com/KDD-OpenSource/DeepADoTS
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
https://github.com/KDD-OpenSource/DeepADoTS
anomaly-detection deep-learning pytorch tensorflow time-series timeseries
Last synced: about 2 months ago
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Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
- Host: GitHub
- URL: https://github.com/KDD-OpenSource/DeepADoTS
- Owner: KDD-OpenSource
- License: mit
- Created: 2018-04-20T13:54:52.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2022-05-25T06:27:30.000Z (over 2 years ago)
- Last Synced: 2024-07-31T21:53:38.394Z (4 months ago)
- Topics: anomaly-detection, deep-learning, pytorch, tensorflow, time-series, timeseries
- Language: Python
- Homepage:
- Size: 3.59 MB
- Stars: 559
- Watchers: 17
- Forks: 115
- Open Issues: 11
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Metadata Files:
- Readme: README.md
- License: LICENSE
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- awesome-TS-anomaly-detection - DeepADoTS - based techniques for Anomaly Detection on Time-Series data. | MIT | ❌ (Anomaly Detection Software)
- awesome-anomaly-detection - `[code