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GitHub / scikit-learn-contrib / imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scikit-learn-contrib%2Fimbalanced-learn
PURL: pkg:github/scikit-learn-contrib/imbalanced-learn

Stars: 7,020
Forks: 1,312
Open issues: 61

License: mit
Language: Python
Size: 21.7 MB
Dependencies parsed at: Pending

Created at: almost 11 years ago
Updated at: 3 days ago
Pushed at: about 1 month ago
Last synced at: about 5 hours ago

Commit Stats

Commits: 814
Authors: 86
Mean commits per author: 9.47
Development Distribution Score: 0.512
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/scikit-learn-contrib/imbalanced-learn

Topics: data-analysis, data-science, machine-learning, python, statistics

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