scikit-learn-contrib's repositories
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
sklearn-pandas
Pandas integration with sklearn
category_encoders
A library of sklearn compatible categorical variable encoders
metric-learn
Metric learning algorithms in Python
skope-rules
machine learning with logical rules in Python
scikit-learn-contrib
scikit-learn compatible projects
project-template
A template for scikit-learn extensions
forest-confidence-interval
Confidence intervals for scikit-learn forest algorithms
stability-selection
scikit-learn compatible implementation of stability selection.
scikit-learn-extra
scikit-learn contrib estimators
scikit-dimension
A Python package for intrinsic dimension estimation
scikit-matter
A collection of scikit-learn compatible utilities that implement methods born out of the materials science and chemistry communities
denmune-clustering-algorithm
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.
sklearn-ann
Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.
radius_clustering
Source code repository of the Radius clustering python package.
scikit-learn-contrib.github.io
Project webpage