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imbalanced-learn
imbalanced-learn PublicA Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
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category_encoders
category_encoders PublicA library of sklearn compatible categorical variable encoders
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- sklearn-ann Public
Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.
scikit-learn-contrib/sklearn-ann’s past year of commit activity - imbalanced-learn Public
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
scikit-learn-contrib/imbalanced-learn’s past year of commit activity - scikit-matter Public
A collection of scikit-learn compatible utilities that implement methods born out of the materials science and chemistry communities
scikit-learn-contrib/scikit-matter’s past year of commit activity - denmune-clustering-algorithm Public
DenMune a clustering algorithm that can find clusters of arbitrary size, shapes and densities in two-dimensions. Higher dimensions are first reduced to 2-D using the t-sne. The algorithm relies on a single parameter K (the number of nearest neighbors). The results show the superiority of DenMune. Enjoy the simplicty but the power of DenMune.
scikit-learn-contrib/denmune-clustering-algorithm’s past year of commit activity
