Alternatives and similar repositories for data-streams:

Users that are interested in data-streams are comparing it to the libraries listed below

• alipsgh / codes-for-moa
  My Java codes for the MOA framework. It includes the implementations of FHDDM, FHDDMS, and MDDMs.
  ☆24Updated 3 years ago
• alipsgh / tornado
  The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.
  ☆129Updated last year
• vlosing / driftDatasets
  ☆48Updated 6 years ago
• ogozuacik / concept-drift-datasets-scikit-multiflow
  concept drift datasets edited to work with scikit-multiflow directly
  ☆40Updated 5 years ago
• tegjyotsingh / ConceptDriftInduction
  Datasets for concept drift detection
  ☆27Updated 7 years ago
• blablahaha / concept-drift
  Algorithms for detecting changes from a data stream.
  ☆117Updated 6 years ago
• gditzler / ConceptDriftResources
  A collection of resources for concept drift data and software
  ☆36Updated 10 years ago
• ogozuacik / d3-discriminative-drift-detector-concept-drift
  unsupervised concept drift detection
  ☆35Updated 3 years ago
• hmgomes / AdaptiveRandomForest
  Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
  ☆41Updated 7 years ago
• denismr / incremental-ks
  Incremental Kolmogorov Smirnov
  ☆21Updated 5 years ago
• ogozuacik / one-class-drift-detection
  unsupervised concept drift detection with one-class classifiers
  ☆16Updated 5 years ago
• Western-OC2-Lab / OASW-Concept-Drift-Detection-and-Adaptation
  An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detecti…
  ☆51Updated last year
• Anjin-Liu / TCYB2019-EIkMeansDriftDetection
  ☆13Updated 4 years ago
• MariamBARRY / skmultiflow_IForestASD
  IForestASD for Anomaly Detection in Scikit-MultiFLow
  ☆26Updated 4 years ago
• songqiaohu / THU-Concept-Drift-Datasets-v1.0
  📖These are the concept drift datasets we made, and we open-source the data and corresponding interfaces. Welcome to use them for free if…
  ☆28Updated 10 months ago
• canoalberto / ROSE
  ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning from Imbalanced Drifting Data Streams
  ☆10Updated 8 months ago
• Jesen-BT / DES-ICD
  The source code of paper "Dynamic Ensemble Selection for Imbalanced Data Streams with Concept Drift"
  ☆12Updated last year
• Anjin-Liu / ConceptDriftDatasets
  popular concept drift evaluation datasets
  ☆11Updated 5 years ago
• haugjo / float
  A modular Python framework for standardized evaluation and benchmarking of online learning models.
  ☆9Updated 2 years ago
• jacobmontiel / AdaptiveXGBoostClassifier
  Implementation of the Adaptive XGBoost classifier for evolving data streams
  ☆43Updated 4 years ago
• mitre / menelaus
  Online and batch-based concept and data drift detection algorithms to monitor and maintain ML performance.
  ☆67Updated last year
• exathlonbenchmark / exathlon
  Pipeline for Explainable Anomaly Detection over Time Series
  ☆60Updated last year
• selimfirat / pysad
  Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
  ☆251Updated last year
• TimeEval / TimeEval-algorithms
  Time series anomaly detection algorithm implementations for TimeEval (Docker-based)
  ☆144Updated 5 months ago
• ronniemi / explainAnomaliesUsingSHAP
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆40Updated 3 years ago
• diegocarrera89 / quantTree
  ☆10Updated last year
• 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 4 years ago
• scikit-ika / scikit-ika
  A real-time adaptive predictive system for evolving data streams. Inspired by MOA and scikit-multiflow, following Scikit's philosophy.
  ☆8Updated 2 years ago
• kaist-dmlab / ARCUS
  ☆25Updated 8 months ago
• jasonyanglu / ACDWM
  ACDWM (Adaptive Chunk-based Dynamic Weighted Majority)
  ☆10Updated 5 years ago