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
• forecasts-and-nn / n-beats
  N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆23Updated 6 years ago
• datamllab / pyodds
  An End-to-end Outlier Detection System
  ☆257Updated 2 years ago
• lnferreira / time_series_clustering_via_community_detection
  Code used in the paper "Time Series Clustering via Community Detection in Networks"
  ☆40Updated 6 years ago
• statefb / singular-spectrum-transformation
  fast implementation of singular spectrum transformation (change point detection algorithm)
  ☆51Updated 7 years ago
• mgckind / iso_forest
  Simple implementation of Isolation Forest
  ☆49Updated 4 years ago
• siddiqmd / FeedbackIsolationForest
  ☆29Updated 7 years ago
• smirmik / CAD
  Contextual Anomaly Detector
  ☆78Updated 6 years ago
• pfmarteau / HIF
  Hybrid Isolation Forest
  ☆24Updated 7 years ago
• pnnl / safekit
  ☆147Updated 5 years ago
• jmbhughes / crcf
  Combination Robust Cut Forests: Merging Isolation Forests and Robust Random Cut Forests
  ☆14Updated 2 years ago
• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆182Updated 8 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
• ritesh99rakesh / pyMIDAS
  Python implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
  ☆38Updated 3 years ago
• winstonll / COPOD
  Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"
  ☆59Updated 5 years ago
• KDD-OpenSource / agots
  Anomaly Generator on Time Series
  ☆54Updated 6 years ago
• iopsai / iops
  ☆38Updated 3 years ago
• Marcnuth / AnomalyDetection
  Twitter's Anomaly Detection in Pure Python
  ☆322Updated 2 years ago
• blablahaha / concept-drift
  Algorithms for detecting changes from a data stream.
  ☆119Updated 7 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆75Updated 6 years ago
• maxsxu / MTSAnomalyDetection
  Multidimensional Time Series Anomaly Detection
  ☆27Updated 8 years ago
• Markus-Go / rapidminer-anomalydetection
  RapidMiner Extension for Anomaly Detection
  ☆95Updated last week
• yzhao062 / LSCP
  Supplementary material for SDM 19 paper "LSCP: Locally Selective Combination in Parallel Outlier Ensembles"
  ☆31Updated 6 years ago
• dsmi-lab-ntust / AnomalyDetectionToolbox
  A collection of algorithms for anomaly detection
  ☆89Updated 10 years ago
• jrmontag / STLDecompose
  A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
  ☆187Updated 6 years ago
• doubleplusplus / incremental_decision_tree-CART-Random_Forest
  incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining …
  ☆104Updated 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
• binli826 / LSTM-Autoencoders
  Anomaly detection for streaming data using autoencoders
  ☆204Updated 3 years ago
• DawnsonLi / EVT
  使用极端值理论(Extreme Value Theory)实现阈值动态自动化设置
  ☆97Updated 7 years ago
• ZhouYuxuanYX / Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-
  Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…
  ☆129Updated 3 years ago