Alternatives and similar repositories for banpei:

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

• datamllab / pyodds
  An End-to-end Outlier Detection System
  ☆252Updated last year
• KDD-OpenSource / DeepADoTS
  Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
  ☆574Updated 2 years ago
• kLabUM / rrcf
  🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
  ☆504Updated 10 months ago
• Marcnuth / AnomalyDetection
  Twitter's Anomaly Detection in Pure Python
  ☆310Updated last year
• microsoft / TagAnomaly
  Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
  ☆325Updated 11 months ago
• khundman / telemanom
  A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from t…
  ☆1,060Updated 2 years ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆224Updated 3 years ago
• vc1492a / PyNomaly
  Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in t…
  ☆320Updated last month
• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆175Updated 7 years ago
• sahandha / eif
  Extended Isolation Forest for Anomaly Detection
  ☆460Updated last year
• jrmontag / STLDecompose
  A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
  ☆183Updated 5 years ago
• waico / SKAB
  SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
  ☆339Updated 5 months ago
• arundo / adtk
  A Python toolkit for rule-based/unsupervised anomaly detection in time series
  ☆1,139Updated 5 months ago
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆210Updated last year
• shubhomoydas / ad_examples
  A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discov…
  ☆849Updated 7 months ago
• shunsukeaihara / changefinder
  ☆102Updated last year
• NetManAIOps / donut
  WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
  ☆465Updated 5 years ago
• smirmik / CAD
  Contextual Anomaly Detector
  ☆77Updated 5 years ago
• microsoft / anomalydetector
  SR-CNN
  ☆257Updated 2 years ago
• chen0040 / keras-anomaly-detection
  Anomaly detection implemented in Keras
  ☆374Updated 6 years ago
• binli826 / LSTM-Autoencoders
  Anomaly detection for streaming data using autoencoders
  ☆192Updated 2 years ago
• earthgecko / skyline
  Anomaly detection
  ☆564Updated last month
• dmbee / seglearn
  Python module for machine learning time series:
  ☆573Updated 2 years ago
• NetManAIOps / OmniAnomaly
  KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
  ☆760Updated 10 months ago
• y-bar / ml-based-anomaly-detection
  Spectral Residual
  ☆79Updated 2 years ago
• patrickzib / SFA
  Scalable Time Series Data Analytics
  ☆312Updated 2 years ago
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆459Updated last month
• baidu / Curve
  An Integrated Experimental Platform for time series data anomaly detection.
  ☆534Updated 4 years ago
• statefb / singular-spectrum-transformation
  fast implementation of singular spectrum transformation (change point detection algorithm)
  ☆51Updated 6 years ago
• selimfirat / pysad
  Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
  ☆250Updated last year