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.
  ☆243Updated last month
• Vincent-Vercruyssen / anomatools
  Toolbox for anomaly detection.
  ☆80Updated 2 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆195Updated 2 years ago
• alipsgh / tornado
  The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.
  ☆129Updated 2 years ago
• selimfirat / pysad
  Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
  ☆282Updated last month
• online-ml / beaver
  🦫 MLOps for (online) machine learning
  ☆91Updated last year
• sdv-dev / SDGym
  Benchmarking synthetic data generation methods.
  ☆289Updated this week
• diegocarrera89 / quantTree
  ☆11Updated 2 years ago
• yzhao062 / MetaOD
  Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)
  ☆186Updated 3 years ago
• TimeEval / TimeEval
  Evaluation Tool for Anomaly Detection Algorithms on Time Series
  ☆149Updated last week
• georgian-io / pyoats
  Quick and Easy Time Series Outlier Detection
  ☆111Updated 2 months ago
• sdv-dev / SDMetrics
  Metrics to evaluate quality and efficacy of synthetic datasets.
  ☆254Updated last week
• TimeEval / TimeEval-algorithms
  Time series anomaly detection algorithm implementations for TimeEval (Docker-based)
  ☆163Updated 7 months ago
• waico / SKAB
  SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
  ☆377Updated last year
• aeon-toolkit / aeon-tutorials
  Tutorials and related talks given by the aeon community
  ☆19Updated 2 months ago
• alipsgh / data-streams
  You will find (about) synthetic and real-world data streams in this repository.
  ☆48Updated 4 years ago
• IBM / TabFormer
  Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
  ☆356Updated 3 months ago
• yzhao062 / pytod
  TOD: GPU-accelerated Outlier Detection via Tensor Operations
  ☆189Updated 2 years ago
• Nixtla / transfer-learning-time-series
  Transfer 🤗 Learning for Time Series Forecasting
  ☆254Updated last year
• ajayarunachalam / msda
  Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised dee…
  ☆129Updated 4 years ago
• denismr / incremental-ks
  Incremental Kolmogorov Smirnov
  ☆21Updated 6 years ago
• TimeEval / GutenTAG
  GutenTAG is an extensible tool to generate time series datasets with and without anomalies; integrated with TimeEval.
  ☆93Updated last week
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆138Updated 4 months ago
• deryckt / TIRE
  Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation
  ☆40Updated 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 …
  ☆104Updated 5 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…
  ☆35Updated last year
• sdv-dev / DeepEcho
  Synthetic Data Generation for mixed-type, multivariate time series.
  ☆119Updated last week
• gditzler / ConceptDriftResources
  A collection of resources for concept drift data and software
  ☆36Updated 10 years ago
• TimeEval / TimeEval-GUI
  [Read-Only Mirror] Benchmarking Toolkit for Time Series Anomaly Detection Algorithms using TimeEval and GutenTAG
  ☆28Updated 8 months ago
• MariamBARRY / skmultiflow_IForestASD
  IForestASD for Anomaly Detection in Scikit-MultiFLow
  ☆29Updated 5 years ago