imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning (by scikit-learn-contrib)

Imbalanced-learn Alternatives

Similar projects and alternatives to imbalanced-learn based on common topics and language

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better imbalanced-learn alternative or higher similarity.

imbalanced-learn reviews and mentions

Posts with mentions or reviews of imbalanced-learn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-26.
  • What’s your approach to highly imbalanced data sets?
    5 projects | /r/datascience | 26 May 2023
    There's a pletora of undersampling and oversampling models you can try out. To avoid removing information form the dataset, you can focus on oversampling techniques. You can try imbalanced-learn or smote-variants. Given enough data, using fully synthetic data is also an option, you can check ydata-synthetic for it. Let us know how it turned out!

Stats

Basic imbalanced-learn repo stats
1
6,697
7.4
25 days ago

scikit-learn-contrib/imbalanced-learn is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of imbalanced-learn is Python.


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