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.
  ☆233Updated last month
• alipsgh / tornado
  The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.
  ☆130Updated last year
• yzhao062 / MetaOD
  Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)
  ☆186Updated 3 years ago
• Vincent-Vercruyssen / anomatools
  Toolbox for anomaly detection.
  ☆79Updated 2 years ago
• TimeEval / GutenTAG
  GutenTAG is an extensible tool to generate time series datasets with and without anomalies; integrated with TimeEval.
  ☆91Updated last month
• yzhao062 / pytod
  TOD: GPU-accelerated Outlier Detection via Tensor Operations
  ☆186Updated 2 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆187Updated last year
• alipsgh / data-streams
  You will find (about) synthetic and real-world data streams in this repository.
  ☆47Updated 4 years ago
• gditzler / ConceptDriftResources
  A collection of resources for concept drift data and software
  ☆36Updated 10 years ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated 9 months ago
• online-ml / beaver
  🦫 MLOps for (online) machine learning
  ☆87Updated last year
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆133Updated last month
• online-ml / deep-river
  ☆159Updated last week
• georgian-io / pyoats
  Quick and Easy Time Series Outlier Detection
  ☆110Updated last year
• ogozuacik / concept-drift-datasets-scikit-multiflow
  concept drift datasets edited to work with scikit-multiflow directly
  ☆41Updated 6 years ago
• diegocarrera89 / quantTree
  ☆11Updated 2 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…
  ☆54Updated last year
• blablahaha / concept-drift
  Algorithms for detecting changes from a data stream.
  ☆119Updated 6 years ago
• sdv-dev / SDGym
  Benchmarking synthetic data generation methods.
  ☆280Updated this week
• denismr / incremental-ks
  Incremental Kolmogorov Smirnov
  ☆21Updated 5 years ago
• selimfirat / pysad
  Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
  ☆282Updated 3 months ago
• sdv-dev / SDMetrics
  Metrics to evaluate quality and efficacy of synthetic datasets.
  ☆248Updated this week
• hmgomes / AdaptiveRandomForest
  Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
  ☆41Updated 7 years ago
• deryckt / TIRE
  Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation
  ☆39Updated 4 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 …
  ☆103Updated 4 years ago
• fastforwardlabs / concept-drift
  This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift
  ☆30Updated 4 years ago
• TimeEval / TimeEval-algorithms
  Time series anomaly detection algorithm implementations for TimeEval (Docker-based)
  ☆160Updated 5 months ago
• TimeEval / TimeEval
  Evaluation Tool for Anomaly Detection Algorithms on Time Series
  ☆139Updated 2 weeks ago
• KulikDM / pythresh
  Outlier Detection Thresholding
  ☆136Updated last month
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆87Updated 2 years ago