Alternatives and similar repositories for menelaus

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

• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆224Updated last week
• Vincent-Vercruyssen / anomatools
  Toolbox for anomaly detection.
  ☆79Updated last year
• alipsgh / tornado
  The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.
  ☆130Updated last year
• selimfirat / pysad
  Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
  ☆275Updated 2 months ago
• MariamBARRY / skmultiflow_IForestASD
  IForestASD for Anomaly Detection in Scikit-MultiFLow
  ☆26Updated 5 years ago
• TimeEval / TimeEval
  Evaluation Tool for Anomaly Detection Algorithms on Time Series
  ☆136Updated last week
• yzhao062 / MetaOD
  Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)
  ☆185Updated 3 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆183Updated last year
• waico / SKAB
  SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
  ☆366Updated last year
• online-ml / deep-river
  ☆153Updated this week
• fzi-forschungszentrum-informatik / TSInterpret
  An Open-Source Library for the interpretability of time series classifiers
  ☆138Updated 9 months ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated 8 months ago
• TimeEval / TimeEval-algorithms
  Time series anomaly detection algorithm implementations for TimeEval (Docker-based)
  ☆158Updated 3 months 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…
  ☆52Updated 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 …
  ☆103Updated 4 years ago
• scikit-multiflow / scikit-multiflow
  A machine learning package for streaming data in Python. The other ancestor of River.
  ☆782Updated last year
• TimeEval / TimeEval-GUI
  [Read-Only Mirror] Benchmarking Toolkit for Time Series Anomaly Detection Algorithms using TimeEval and GutenTAG
  ☆28Updated 4 months ago
• diegocarrera89 / quantTree
  ☆11Updated 2 years ago
• vlosing / driftDatasets
  ☆50Updated 6 years ago
• hfawaz / cd-diagram
  Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
  ☆289Updated 3 years ago
• georgian-io / pyoats
  Quick and Easy Time Series Outlier Detection
  ☆110Updated last year
• ogozuacik / d3-discriminative-drift-detector-concept-drift
  unsupervised concept drift detection
  ☆35Updated 4 years ago
• denismr / incremental-ks
  Incremental Kolmogorov Smirnov
  ☆21Updated 5 years ago
• ogozuacik / concept-drift-datasets-scikit-multiflow
  concept drift datasets edited to work with scikit-multiflow directly
  ☆41Updated 6 years ago
• angus924 / minirocket
  MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
  ☆314Updated 3 years ago
• online-ml / beaver
  🦫 MLOps for (online) machine learning
  ☆86Updated last year
• alipsgh / data-streams
  You will find (about) synthetic and real-world data streams in this repository.
  ☆47Updated 4 years ago
• yzhao062 / pytod
  TOD: GPU-accelerated Outlier Detection via Tensor Operations
  ☆184Updated 2 years ago
• ronniemi / explainAnomaliesUsingSHAP
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆43Updated 4 years ago
• aeon-toolkit / aeon-tutorials
  Tutorials and related talks given by the aeon community
  ☆19Updated 4 months ago