https://github.com/analyticalmindsltd/smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
https://github.com/analyticalmindsltd/smote_variants

imbalanced-data imbalanced-learning oversampling smote

Last synced: 2 months ago
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A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

• Host: GitHub
• URL: https://github.com/analyticalmindsltd/smote_variants
• Owner: analyticalmindsltd
• License: mit
• Created: 2018-10-05T20:21:54.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-01-03T21:08:01.000Z (6 months ago)
• Last Synced: 2024-04-18T11:42:25.109Z (2 months ago)
• Topics: imbalanced-data, imbalanced-learning, oversampling, smote
• Language: Jupyter Notebook
• Homepage: http://smote-variants.readthedocs.io
• Size: 70.7 MB
• Stars: 593
• Watchers: 16
• Forks: 136
• Open Issues: 19
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Lists

• awesome-imbalanced-learning - **smote-variants**
• awesome-imbalanced-learning-in-production - SMOTE-variants for imbalanced learning