Pinned Repositories
boruta_py
Python implementations of the Boruta all-relevant feature selection method.
category_encoders
A library of sklearn compatible categorical variable encoders
DESlib
A Python library for dynamic classifier and ensemble selection
hdbscan
A high performance implementation of HDBSCAN clustering.
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
lightning
Large-scale linear classification, regression and ranking in Python
MAPIE
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
metric-learn
Metric learning algorithms in Python
sklearn-pandas
Pandas integration with sklearn
skope-rules
machine learning with logical rules in Python
scikit-learn-contrib's Repositories
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
scikit-learn-contrib/sklearn-pandas
Pandas integration with sklearn
scikit-learn-contrib/hdbscan
A high performance implementation of HDBSCAN clustering.
scikit-learn-contrib/category_encoders
A library of sklearn compatible categorical variable encoders
scikit-learn-contrib/lightning
Large-scale linear classification, regression and ranking in Python
scikit-learn-contrib/boruta_py
Python implementations of the Boruta all-relevant feature selection method.
scikit-learn-contrib/metric-learn
Metric learning algorithms in Python
scikit-learn-contrib/MAPIE
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
scikit-learn-contrib/skope-rules
machine learning with logical rules in Python
scikit-learn-contrib/DESlib
A Python library for dynamic classifier and ensemble selection
scikit-learn-contrib/py-earth
A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
scikit-learn-contrib/scikit-learn-contrib
scikit-learn compatible projects
scikit-learn-contrib/project-template
A template for scikit-learn extensions
scikit-learn-contrib/forest-confidence-interval
Confidence intervals for scikit-learn forest algorithms
scikit-learn-contrib/polylearn
A library for factorization machines and polynomial networks for classification and regression in Python.
scikit-learn-contrib/stability-selection
scikit-learn compatible implementation of stability selection.
scikit-learn-contrib/scikit-learn-extra
scikit-learn contrib estimators
scikit-learn-contrib/skglm
Fast and modular sklearn replacement for generalized linear models
scikit-learn-contrib/qolmat
A scikit-learn-compatible module for comparing imputation methods.
scikit-learn-contrib/hiclass
A python library for hierarchical classification compatible with scikit-learn
scikit-learn-contrib/scikit-dimension
A Python package for intrinsic dimension estimation
scikit-learn-contrib/scikit-matter
A collection of scikit-learn compatible utilities that implement methods born out of the materials science and chemistry communities
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.
scikit-learn-contrib/skdag
A more flexible alternative to scikit-learn Pipelines
scikit-learn-contrib/mimic
mimic calibration
scikit-learn-contrib/sklearn-ann
Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.
scikit-learn-contrib/scikit-learn-contrib.github.io
Project webpage