Alternatives and similar repositories for concept-drift

Users that are interested in concept-drift are comparing it to the libraries listed below

• 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 …
  ☆103Updated 4 years ago
• alipsgh / tornado
  The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.
  ☆130Updated last year
• gditzler / ConceptDriftResources
  A collection of resources for concept drift data and software
  ☆36Updated 10 years ago
• hmgomes / AdaptiveRandomForest
  Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
  ☆41Updated 7 years ago
• datamllab / pyodds
  An End-to-end Outlier Detection System
  ☆256Updated 2 years ago
• alipsgh / data-streams
  You will find (about) synthetic and real-world data streams in this repository.
  ☆47Updated 4 years ago
• ogozuacik / concept-drift-datasets-scikit-multiflow
  concept drift datasets edited to work with scikit-multiflow directly
  ☆41Updated 6 years ago
• ogozuacik / d3-discriminative-drift-detector-concept-drift
  unsupervised concept drift detection
  ☆35Updated 4 years ago
• vlosing / driftDatasets
  ☆50Updated 6 years ago
• selimfirat / pysad
  Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
  ☆275Updated 2 months ago
• sahandha / eif
  Extended Isolation Forest for Anomaly Detection
  ☆476Updated last year
• yzhao062 / XGBOD
  Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"
  ☆88Updated 6 years ago
• binli826 / LSTM-Autoencoders
  Anomaly detection for streaming data using autoencoders
  ☆200Updated 3 years ago
• tegjyotsingh / ConceptDriftInduction
  Datasets for concept drift detection
  ☆28Updated 8 years ago
• yzhao062 / MetaOD
  Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)
  ☆185Updated 3 years ago
• yzhao062 / SUOD
  (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
  ☆390Updated 5 months ago
• Anjin-Liu / TCYB2019-EIkMeansDriftDetection
  ☆13Updated 5 years ago
• smirmik / CAD
  Contextual Anomaly Detector
  ☆78Updated 6 years ago
• Jesen-BT / DES-ICD
  The source code of paper "Dynamic Ensemble Selection for Imbalanced Data Streams with Concept Drift"
  ☆12Updated 2 years ago
• KDD-OpenSource / DeepADoTS
  Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
  ☆592Updated 3 years ago
• MariamBARRY / skmultiflow_IForestASD
  IForestASD for Anomaly Detection in Scikit-MultiFLow
  ☆27Updated 5 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…
  ☆127Updated 2 years ago
• Vincent-Vercruyssen / anomatools
  Toolbox for anomaly detection.
  ☆79Updated last year
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆225Updated 3 years ago
• jacobmontiel / AdaptiveXGBoostClassifier
  Implementation of the Adaptive XGBoost classifier for evolving data streams
  ☆43Updated 5 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆73Updated 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
• PanpanZheng / OCAN
  ☆52Updated 5 years ago
• predict-idlab / GENDIS
  Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all …
  ☆106Updated 2 years ago
• patrickzib / SFA
  Scalable Time Series Data Analytics
  ☆318Updated 4 months ago