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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Mutual labels: anomaly-detection
LauschgeraetGets in the way of your victim's traffic and out of yours
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Mutual labels: traffic-analysis
f anogan pytorchCode for reproducing f-AnoGAN in Pytorch
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Mutual labels: anomaly-detection
coursera-ml-py-sjNo description or website provided.
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anomagramInteractive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js
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anomaly-detection-modelssome anomaly detection models and experiments.
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deviation-network-imageOfficial PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supervised anomaly detection, few-shot anomaly detection, image defect detection.
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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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sherlockSherlock is an anomaly detection service built on top of Druid
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pytodTOD: GPU-accelerated Outlier Detection via Tensor Operations
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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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msdaLibrary for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
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FSSD OoD DetectionFeature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)
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BagelIPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder
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ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
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AnomalyDetection基于智能计算框架nupic的异常检测restful Api.
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CCDCode for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]
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