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"
  ☆82Updated 5 years ago
• maxsxu / MTSAnomalyDetection
  Multidimensional Time Series Anomaly Detection
  ☆27Updated 7 years ago
• mgckind / iso_forest
  Simple implementation of Isolation Forest
  ☆49Updated 4 years ago
• yzhao062 / LSCP
  Supplementary material for SDM 19 paper "LSCP: Locally Selective Combination in Parallel Outlier Ensembles"
  ☆30Updated 5 years ago
• forecasts-and-nn / n-beats
  N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆23Updated 5 years ago
• pfmarteau / HIF
  Hybrid Isolation Forest
  ☆24Updated 6 years ago
• statefb / singular-spectrum-transformation
  fast implementation of singular spectrum transformation (change point detection algorithm)
  ☆51Updated 6 years ago
• abelusha / AutoEncoders-for-Anomaly-Detection
  ☆26Updated 6 years ago
• siddiqmd / FeedbackIsolationForest
  ☆29Updated 6 years ago
• cmuxstream / cmuxstream-core
  Static (Python) and streaming (C++) implementations of xStream (KDD 2018).
  ☆30Updated 6 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 4 years ago
• leibinghe / GAAL-based-outlier-detection
  GAAL-based Outlier Detection
  ☆133Updated 2 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…
  ☆63Updated 4 years ago
• winstonll / COPOD
  Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"
  ☆60Updated 4 years ago
• massful / time_series_anomaly_detection
  一种时间序列突变检验算法
  ☆17Updated 8 years ago
• lnferreira / time_series_clustering_via_community_detection
  Code used in the paper "Time Series Clustering via Community Detection in Networks"
  ☆37Updated 5 years ago
• Rohithram / Self-Organizing-Maps-using-KNN
  High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neu…
  ☆11Updated 6 years ago
• AntoinePassemiers / Encoder-Forest
  eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
  ☆23Updated 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,…
  ☆107Updated last year
• blablahaha / concept-drift
  Algorithms for detecting changes from a data stream.
  ☆118Updated 6 years ago
• autonlab / esrnn
  Hybrid ES-RNN models for time series forecasting
  ☆19Updated 3 years ago
• Lzeey / time-series-anomaly
  Anomaly detection on time series using Deep Learning techniques
  ☆29Updated 5 years ago
• gkapatai / MaatPy
  ☆15Updated 2 years ago
• NathanRxl / concept_drift
  Machine learning project, Master's Data Science, 2017
  ☆10Updated 8 years ago
• BorgwardtLab / PyChange
  Multiple change detection with python
  ☆23Updated 6 years ago
• PanpanZheng / OCAN
  ☆52Updated 4 years ago
• cran2367 / understanding-lstm-autoencoder
  Understanding an LSTM Autoencoder
  ☆37Updated 5 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆76Updated 2 years ago
• nnikolaou / Cost-sensitive-Boosting-Tutorial
  Tutorial on cost-sensitive boosting and calibrated AdaMEC.
  ☆26Updated 8 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆16Updated 6 years ago