Alternatives and similar repositories for DCSO

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

• yzhao062 / XGBOD
  Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"
  ☆89Updated 6 years ago
• datamllab / pyodds
  An End-to-end Outlier Detection System
  ☆257Updated 2 years ago
• blablahaha / concept-drift
  Algorithms for detecting changes from a data stream.
  ☆119Updated 7 years ago
• maxsxu / MTSAnomalyDetection
  Multidimensional Time Series Anomaly Detection
  ☆27Updated 8 years ago
• forecasts-and-nn / n-beats
  N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆23Updated 6 years ago
• mgckind / iso_forest
  Simple implementation of Isolation Forest
  ☆49Updated 4 years ago
• pnnl / safekit
  ☆147Updated 5 years ago
• IBM / xgboost-smote-detect-fraud
  Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in t…
  ☆67Updated 5 years ago
• dsmi-lab-ntust / AnomalyDetectionToolbox
  A collection of algorithms for anomaly detection
  ☆89Updated 10 years ago
• siddiqmd / FeedbackIsolationForest
  ☆29Updated 7 years ago
• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆182Updated 8 years ago
• yzhao062 / LSCP
  Supplementary material for SDM 19 paper "LSCP: Locally Selective Combination in Parallel Outlier Ensembles"
  ☆31Updated 6 years ago
• statefb / singular-spectrum-transformation
  fast implementation of singular spectrum transformation (change point detection algorithm)
  ☆51Updated 7 years ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆227Updated 4 years ago
• youngdou / awesome-time-series-analysis
  This list collects learning resource, tools and dataset for time series analysis/time series data mining.
  ☆178Updated 4 years ago
• OpenIDEA-YunanUniversity / ycimpute
  A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…
  ☆108Updated last year
• microsoft / anomalydetector
  SR-CNN
  ☆266Updated 3 years ago
• yzhao062 / SUOD
  (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
  ☆392Updated 10 months ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆75Updated 6 years ago
• nachonavarro / seasonal-esd-anomaly-detection
  Anomaly detection algorithm implemented at Twitter
  ☆114Updated 2 years ago
• leibinghe / GAAL-based-outlier-detection
  GAAL-based Outlier Detection
  ☆134Updated 3 years ago
• binli826 / LSTM-Autoencoders
  Anomaly detection for streaming data using autoencoders
  ☆204Updated 3 years ago
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆216Updated 5 months ago
• KDD-OpenSource / agots
  Anomaly Generator on Time Series
  ☆54Updated 6 years ago
• vc1492a / PyNomaly
  Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in t…
  ☆329Updated 4 months ago
• Marcnuth / AnomalyDetection
  Twitter's Anomaly Detection in Pure Python
  ☆323Updated 2 years ago
• smirmik / CAD
  Contextual Anomaly Detector
  ☆78Updated 6 years ago
• LeeDoYup / RobustSTL
  Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
  ☆301Updated 5 years ago
• pfmarteau / HIF
  Hybrid Isolation Forest
  ☆24Updated 7 years ago
• iopsai / iops
  ☆38Updated 3 years ago