https://github.com/scikit-learn-contrib/imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

data-analysis data-science machine-learning python statistics

Last synced: 22 Apr 2025

https://github.com/scikit-learn-contrib/hdbscan

A high performance implementation of HDBSCAN clustering.

cluster-analysis clustering clustering-algorithm clustering-evaluation machine-learning machine-learning-algorithms

Last synced: 23 Apr 2025

https://github.com/scikit-learn-contrib/sklearn-pandas

Pandas integration with sklearn

Last synced: 10 Apr 2025

https://github.com/scikit-learn-contrib/category_encoders

A library of sklearn compatible categorical variable encoders

Last synced: 08 Apr 2025

https://github.com/scikit-learn-contrib/lightning

Large-scale linear classification, regression and ranking in Python

machine-learning

Last synced: 18 Jan 2025

https://github.com/scikit-learn-contrib/boruta_py

Python implementations of the Boruta all-relevant feature selection method.

Last synced: 11 Apr 2025

https://github.com/metric-learn/metric-learn

Metric learning algorithms in Python

machine-learning metric-learning python scikit-learn

Last synced: 07 Jan 2025

https://github.com/scikit-learn-contrib/metric-learn

Metric learning algorithms in Python

machine-learning metric-learning python scikit-learn

Last synced: 10 Apr 2025

https://github.com/scikit-learn-contrib/mapie

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

classification confidence-intervals conformal-prediction data-science python regression sklearn

Last synced: 09 Apr 2025

https://github.com/scikit-learn-contrib/MAPIE

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

classification confidence-intervals conformal-prediction data-science python regression sklearn

Last synced: 12 Nov 2024

https://github.com/scikit-learn-contrib/skope-rules

machine learning with logical rules in Python

Last synced: 14 Apr 2025

https://github.com/scikit-learn-contrib/deslib

A Python library for dynamic classifier and ensemble selection

classifier-ensembles diversity diversity-measures dynamic-ensembles dynamic-selection ensemble-learning ensemble-prediction ensemble-selection

Last synced: 04 Apr 2025

https://github.com/scikit-learn-contrib/DESlib

A Python library for dynamic classifier and ensemble selection

classifier-ensembles diversity diversity-measures dynamic-ensembles dynamic-selection ensemble-learning ensemble-prediction ensemble-selection

Last synced: 15 Nov 2024

https://github.com/scikit-learn-contrib/scikit-learn-contrib

scikit-learn compatible projects

Last synced: 17 Feb 2025

https://github.com/scikit-learn-contrib/project-template

A template for scikit-learn extensions

Last synced: 14 Apr 2025

https://github.com/scikit-learn-contrib/forest-confidence-interval

Confidence intervals for scikit-learn forest algorithms

Last synced: 17 Feb 2025

https://github.com/scikit-learn-contrib/scikit-learn-extra

scikit-learn contrib estimators

Last synced: 14 Apr 2025

https://github.com/scikit-learn-contrib/skglm

Fast and modular sklearn replacement for generalized linear models

Last synced: 08 Apr 2025

https://github.com/scikit-learn-contrib/qolmat

A scikit-learn-compatible module for comparing imputation methods.

Last synced: 05 Apr 2025

https://github.com/scikit-learn-contrib/hiclass

A python library for hierarchical classification compatible with scikit-learn

Last synced: 06 Apr 2025

https://github.com/scikit-learn-contrib/scikit-dimension

A Python package for intrinsic dimension estimation

Last synced: 06 Apr 2025

https://github.com/scikit-learn-contrib/scikit-matter

A collection of scikit-learn compatible utilities that implement methods born out of the materials science and chemistry communities

Last synced: 10 Apr 2025

https://github.com/scikit-learn-contrib/skdag

A more flexible alternative to scikit-learn Pipelines

Last synced: 10 Apr 2025

https://github.com/scikit-learn-contrib/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.

clustering deep-learning machine-learning python

Last synced: 10 Apr 2025

https://github.com/scikit-learn-contrib/sklearn-ann

Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.

approximate-nearest-neighbor-search clustering knn knn-graphs scikit-learn

Last synced: 10 Apr 2025

https://github.com/scikit-learn-contrib/fastcan

A Fast Canonical-Correlation-Based Feature Selection Algorithm

Last synced: 10 Apr 2025

https://github.com/scikit-learn-contrib/scikit-learn-contrib.github.io

Project webpage

Last synced: 17 Feb 2025