# analyticalmindsltd/smote\_variants

<https://repo.masters-masters.com/en/repos/analyticalmindsltd/smote_variants>

[Home](https://repo.masters-masters.com/en) › [analyticalmindsltd](https://repo.masters-masters.com/en/owners/analyticalmindsltd) › [smote\_variants](https://repo.masters-masters.com/en/repos/analyticalmindsltd/smote_variants)

analyticalmindsltd/smote\_variants has 691 stars on GitHub. Its RepoMasters card: Alpha tier. A collection of 85 minority oversampling techniques (SMOTE) for…

| Field | Value |
| --- | --- |
| Owner | [analyticalmindsltd](https://repo.masters-masters.com/en/owners/analyticalmindsltd) |
| Stars | 691 |
| Forks | 147 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2018 |
| Topics | smote, oversampling, imbalanced-learning, imbalanced-data |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [analyticalmindsltd/smote\_variants](https://github.com/analyticalmindsltd/smote_variants) |

## Repository

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
