scikit-learn-contrib scikit-learn-contrib is a github organization for gathering high-quality scikit-learn compatible projects. It also provides a template for establishing new scikit-learn compatible projects. Vision With the explosion of the number…
scikit-learn-contrib
scikit-learn-contrib is a github organization for gathering high-quality scikit-learn compatible projects. It also provides a template for establishing new scikit-learn compatible projects.
Vision
With the explosion of the number of machine learning papers, it becomes increasingly difficult for users and researchers to implement and compare algorithms. Even when authors release their software, it takes time to learn how to use it and how to apply it to one's own purposes. The goal of scikit-learn-contrib is to provide easy-to-install and easy-to-use high-quality machine learning software. With scikit-learn-contrib, users can install a project by `pip install sklearn-contrib-project-name and immediately try it on their data with the usual fit, predict and transform` methods. In addition, projects are compatible with scikit-learn tools such as grid search, pipelines, etc.
Projects
If you would like to include your own project in scikit-learn-contrib,
take a look at the workflow.
boruta_py
Python implementations of the Boruta all-relevant feature selection method.
Maintained by Daniel Homola
categorical-encoding
A library of sklearn compatible categorical variable encoders.
Maintained by Will McGinnis and Paul Westenthanner
DenMune: Density-peak clustering using mutual nearest neighbors
A simple-but-efficient density-based 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.
Maintained by: Mohamed Abbas
forest-confidence-interval
Confidence intervals for scikit-learn forest algorithms.
Maintained by Ariel Rokem, Kivan Polimis and Bryna Hazelton.
hdbscan
A high performance implementation of HDBSCAN clustering.
Maintained by Leland McInnes, jc-healy, c-north and Steve Astels.
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
Maintained by Guillaume Lemaitre, Fernando Nogueira, Dayvid Oliveira and Christos Aridas.
lightning
Large-scale linear classification, regression and ranking.
Maintained by Mathieu Blondel and Fabian Pedregosa.
MAPIE - Model Agnostic Prediction Interval Estimator
MAPIE is an open-source Python library for quantifying uncertainties and controlling the risks of machine learning models.
Maintained by Valentin Laurent, Vincent Blot, Thibault Cordier and Louis Lacombe.
metric-learn
Metric learning algorithms in Python.
Maintained by CJ Carey, Yuan Tang, William de Vazelhes, Aurélien Bellet and Nathalie Vauquier.
polylearn
Factorization machines and polynomial networks for classification and regression in Python.
Maintained by Vlad Niculae.
py-earth
A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines.
Maintained by Jason Rudy and Mehdi.
skglm
Fast and modular Generalized Linear Models with support for models missing in scikit-learn.
Maintained by Mathurin Massias, Pierre-Antoine Bannier, Quentin Klopfenstein and Quentin Bertrand.
sklearn-pandas
Pandas integration with sklearn.
Maintained by Israel Saeta Pérez
skope-rules
Machine learning with logical rules in Python.
Maintained by Florian Gardin, Ronan Gautier, Nicolas Goix and Jean-Matthieu Schertzer.
stability-selection
A Python implementation of the stability selection feature selection algorithm.
Maintained by Thomas Huijskens
Members
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imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Python ★ 7.1k 6h agoExplain → -
hdbscan
A high performance implementation of HDBSCAN clustering.
Jupyter Notebook ★ 3.1k 10d agoExplain → -
sklearn-pandas
Pandas integration with sklearn
Python ★ 2.9k 3y agoExplain → -
category_encoders
A library of sklearn compatible categorical variable encoders
Python ★ 2.5k 28d agoExplain → -
lightning ▣
Large-scale linear classification, regression and ranking in Python
Python ★ 1.8k 2y agoExplain → -
boruta_py
Python implementations of the Boruta all-relevant feature selection method.
Python ★ 1.6k 7mo agoExplain → -
MAPIE
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
Jupyter Notebook ★ 1.6k 3d agoExplain → -
metric-learn
Metric learning algorithms in Python
Python ★ 1.4k 3mo agoExplain → -
skope-rules
machine learning with logical rules in Python
Jupyter Notebook ★ 662 2y agoExplain → -
DESlib
A Python library for dynamic classifier and ensemble selection
Python ★ 503 5mo agoExplain → -
py-earth ▣
A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
Python ★ 468 2y agoExplain → -
scikit-learn-contrib
scikit-learn compatible projects
★ 410 1mo agoExplain → -
project-template
A template for scikit-learn extensions
Python ★ 343 1y agoExplain → -
forest-confidence-interval
Confidence intervals for scikit-learn forest algorithms
HTML ★ 288 2mo agoExplain → -
polylearn ▣
A library for factorization machines and polynomial networks for classification and regression in Python.
Python ★ 245 5y agoExplain → -
stability-selection ▣
scikit-learn compatible implementation of stability selection.
Python ★ 215 3y agoExplain → -
scikit-learn-extra
scikit-learn contrib estimators
Python ★ 204 28d agoExplain → -
skglm
Fast and modular sklearn replacement for generalized linear models
Python ★ 201 17d agoExplain → -
qolmat
A scikit-learn-compatible module for comparing imputation methods.
Python ★ 140 5mo agoExplain → -
hiclass
A python library for hierarchical classification compatible with scikit-learn
Python ★ 137 2mo agoExplain → -
scikit-dimension
A Python package for intrinsic dimension estimation
Python ★ 103 2mo agoExplain → -
scikit-matter
A collection of scikit-learn compatible utilities that implement methods born out of the materials science and chemistry communities
Python ★ 97 1mo agoExplain → -
bde
Bayesian Deep Ensembles via MILE: easy to use, scikit-learn compatible and fast (JAX powered)
Python ★ 45 1mo agoExplain → -
skdag
A more flexible alternative to scikit-learn Pipelines
Python ★ 39 1y agoExplain → -
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.
Jupyter Notebook ★ 33 1y agoExplain → -
sklearn-ann
Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.
Python ★ 28 2h agoExplain → -
fastcan
A fast canonical-correlation-based search algorithm for feature selection, system identification, data pruning, etc.
Python ★ 24 21h agoExplain → -
mimic ▣
mimic calibration
Python ★ 21 6y agoExplain → -
mloptimizer
mloptimizer is an optimizing library designed to be used with sklearn interface machine learning algorithms. It uses deap library for genetic algorithm optimization of hyperparameters.
Jupyter Notebook ★ 15 2mo agoExplain → -
radius_clustering
Source code repository of the Radius clustering python package.
C ★ 10 6mo agoExplain → -
scikit-learn-contrib.github.io
Project webpage
HTML ★ 4 1y agoExplain → -
denmune-skl
SKlearn API consistent (and more performant) implementation of DenMune, by Abbas et al.
Python ★ 2 4h agoExplain →
No repos match these filters.