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data-shift

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CapyMOA does efficient machine learning for data streams in Python. CapyMOA is a toolbox of methods and evaluators for: classification, regression, clustering, anomaly detection, semi-supervised learning, online continual learning, and drift detection for data streams.

  • Updated Aug 17, 2026
  • Jupyter Notebook

Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.

  • Updated Jul 12, 2023

A lightweight, no-install, GUI-based Python toolbox for detecting, measuring, and visualizing domain shift (data shift) across datasets — all running in your browser on Windows, macOS, or Linux.

  • Updated Apr 26, 2026
  • Python

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