Domain adaptation toolbox compatible with scikit-learn and pytorch
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Sep 17, 2026 - Python
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data-shift
Here are 7 public repositories matching this topic...
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.
data-science machine-learning deep-learning online-learning concept-drift incremental-learning anomaly-detection continual-learning drift-detection online-continual-learning stream-learning online-clustering data-shift online-classification
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Oct 21, 2026 - Python
Drift Lens Demo
nlp computer-vision deep-learning demo-app concept-drift data-change data-drift data-shift unsupervised-concept-drift-detection concept-drift-detection
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Apr 15, 2024 - Python
A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
deep-neural-networks deep-learning semi-supervised-learning ood non-iid data-shift distribution-shift
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Apr 23, 2022 - Python
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.
python data-science machine-learning gui tabular-data python3 toolbox pca hypothesis-testing umap domain-adaptation streamlit data-drift domain-shift data-shift machine-learning-evaluation machine-learning-robustness domain-shift-detection machine-learning-reliability data-shift-detection
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Apr 26, 2026 - Python
scikit-autoeval: automatic evaluation for ML models
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Dec 18, 2025 - Python
Bayesian Quantification with Black-Box Estimators
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Jun 13, 2024 - Python
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