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pypi.org : cleanlab

The standard package for data-centric AI, machine learning with label errors, and automatically finding and fixing dataset issues in Python.

Registry - Source - Homepage - Documentation - JSON
purl: pkg:pypi/cleanlab
Keywords: machine_learning, data_cleaning, confident_learning, classification, weak_supervision, learning_with_noisy_labels, unsupervised_learning, datacentric_ai, datacentric, active-learning, annotation, data-analysis, data-centric-ai, data-cleaning, data-curation, data-labeling, data-profiling, data-quality, data-science, data-validation, dataops, dataquality, datasets, labeling, llms, noisy-labels, out-of-distribution-detection, outlier-detection, weak-supervision
License: Other
Latest release: 7 days ago
First release: over 5 years ago
Dependent packages: 11
Dependent repositories: 19
Downloads: 23,002 last month
Stars: 8,795 on GitHub
Forks: 674 on GitHub
Docker dependents: 1
Docker downloads: 11
Total Commits: 1192
Committers: 33
Average commits per author: 36.121
Development Distribution Score (DDS): 0.403
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: about 18 hours ago

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