[P] Looking for Resources on Anomaly Detection

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • awesome-TS-anomaly-detection

    List of tools & datasets for anomaly detection on time-series data.

  • Some good stuff here (tools and libraries). https://github.com/rob-med/awesome-TS-anomaly-detection

  • Netdata

    The open-source observability platform everyone needs

  • p.p.s if curious here is a sort of first stab at what I built using PyOD to try add some anomaly detection to the open source monitoring agent where I work. https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/anomalies

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • A3

    Discontinued Inspired by recent advances in coverage-guided analysis of neural networks, we propose a novel anomaly detection method. We show that the hidden activation values contain information useful to distinguish between normal and anomalous samples. Our approach combines three neural networks in a purely data-driven end-to-end model. Based on the activation values in the target network, the alarm network decides if the given sample is normal. Thanks to the anomaly network, our method even works in stri

  • As the code is available as well, you can directly test the approach and see if it is a viable solution for the telemetry data: https://github.com/Fraunhofer-AISEC/A3/

  • NAB

    The Numenta Anomaly Benchmark

  • Also Numenta NAB paper is a good starting point. https://github.com/numenta/NAB

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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