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zamanzadeh/CARLA

CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust representations of time series data.

Owner
zamanzadeh (personal account)
Stars
Stars: 158
Forks
Forks: 20
Language
Jupyter Notebook
License
MIT
Created
2024
Topics
anomaly-detectioncontrastive-learningdeep-learningrepresentation-learningtime-seriesself-supervised-learningtime-series-anomaly-detectiontriplet-loss
Tier
Prototype (100 to 249 ★) What this tier means
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