Alternatives and similar repositories for TagAnomaly:

Users that are interested in TagAnomaly are comparing it to the libraries listed below

• microsoft / anomalydetector
  SR-CNN
  ☆259Updated 2 years ago
• baidu / Curve
  An Integrated Experimental Platform for time series data anomaly detection.
  ☆535Updated 4 years ago
• KDD-OpenSource / DeepADoTS
  Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
  ☆582Updated 2 years ago
• datamllab / pyodds
  An End-to-end Outlier Detection System
  ☆254Updated 2 years ago
• Marcnuth / AnomalyDetection
  Twitter's Anomaly Detection in Pure Python
  ☆316Updated 2 years ago
• khundman / telemanom
  A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from t…
  ☆1,078Updated 2 months ago
• NetManAIOps / OmniAnomaly
  KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
  ☆780Updated last year
• kLabUM / rrcf
  🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
  ☆506Updated last year
• NetManAIOps / donut
  WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
  ☆468Updated 6 years ago
• waico / SKAB
  SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
  ☆353Updated 7 months ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆223Updated 3 years ago
• tsurubee / banpei
  Anomaly detection library based on singular spectrum transformation(sst)
  ☆305Updated 4 years ago
• yzhao062 / SUOD
  (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
  ☆385Updated last week
• binli826 / LSTM-Autoencoders
  Anomaly detection for streaming data using autoencoders
  ☆197Updated 2 years ago
• arundo / adtk
  A Python toolkit for rule-based/unsupervised anomaly detection in time series
  ☆1,149Updated 8 months ago
• shubhomoydas / ad_examples
  A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discov…
  ☆855Updated 10 months ago
• LiDan456 / MAD-GANs
  Applied generative adversarial networks (GANs) to do anomaly detection for time series data
  ☆542Updated 5 years ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated 8 months ago
• chickenbestlover / RNN-Time-series-Anomaly-Detection
  RNN based Time-series Anomaly detector model implemented in Pytorch.
  ☆1,252Updated 3 years ago
• earthgecko / skyline
  Anomaly detection
  ☆577Updated 3 months ago
• NetManAIOps / KPI-Anomaly-Detection
  2018AIOps: The 1st match for AIOps
  ☆85Updated 2 years ago
• smirmik / CAD
  Contextual Anomaly Detector
  ☆78Updated 5 years ago
• chen0040 / keras-anomaly-detection
  Anomaly detection implemented in Keras
  ☆375Updated 7 years ago
• jrmontag / STLDecompose
  A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
  ☆185Updated 6 years ago
• LeeDoYup / RobustSTL
  Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
  ☆292Updated 4 years ago
• selimfirat / pysad
  Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
  ☆253Updated last year
• y-bar / ml-based-anomaly-detection
  Spectral Residual
  ☆79Updated 2 years ago
• zrnsm / pyculiarity
  A Python port of Twitter's AnomalyDetection R Package
  ☆367Updated 4 years ago
• DHI / tsod
  Anomaly Detection for time series data
  ☆170Updated last month
• lin-shuyu / VAE-LSTM-for-anomaly-detection
  We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
  ☆504Updated 2 years ago