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anompyA Python library for anomaly detection
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deepADDetection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on J…
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kenchiA scikit-learn compatible library for anomaly detection
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FSSD OoD DetectionFeature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)
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transfertoolsPython toolbox for transfer learning.
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videoMultiGANEnd to End learning for Video Generation from Text
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pytodTOD: GPU-accelerated Outlier Detection via Tensor Operations
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kubervisorThe Kubervisor allow you to control which pods should receive traffic or not based on anomaly detection.It is a new kind of health check system.
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sherlockSherlock is an anomaly detection service built on top of Druid
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ind knn adIndustrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.
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