scikit-learn-contrib

Repositories

• category_encoders

  A library of sklearn compatible categorical variable encoders
  Python BSD-3-Clause 289 1,491 57 (6 issues need help) 6 Updated Oct 23, 2020

• skope-rules

  machine learning with logical rules in Python
  Jupyter Notebook 55 335 19 2 Updated Oct 23, 2020

• boruta_py

  Python implementations of the Boruta all-relevant feature selection method.
  Python BSD-3-Clause 170 808 16 3 Updated Oct 21, 2020

• hdbscan

  A high performance implementation of HDBSCAN clustering.

  machine-learning clustering machine-learning-algorithms cluster-analysis clustering-algorithm clustering-evaluation
  Jupyter Notebook BSD-3-Clause 325 1,737 193 (3 issues need help) 13 Updated Oct 19, 2020

• scikit-learn-extra

  scikit-learn contrib estimators
  Python BSD-3-Clause 15 55 14 (1 issue needs help) 4 Updated Oct 19, 2020

• lightning

  Large-scale linear classification, regression and ranking in Python

  machine-learning
  Python 186 1,395 40 11 Updated Oct 8, 2020

• sklearn-pandas

  Pandas integration with sklearn
  Python 376 2,242 33 (5 issues need help) 9 Updated Oct 1, 2020

• DESlib

  A Python library for dynamic classifier and ensemble selection

  diversity ensemble-learning ensemble-prediction ensemble-selection diversity-measures dynamic-ensembles classifier-ensembles
  Python BSD-3-Clause 64 279 14 (2 issues need help) 0 Updated Sep 30, 2020

• imbalanced-learn

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

  python data-science machine-learning statistics data-analysis
  Python 1,028 4,806 39 (3 issues need help) 10 Updated Sep 20, 2020

• project-template

  A template for scikit-learn extensions
  Python BSD-3-Clause 71 181 7 1 Updated Sep 10, 2020

• stability-selection

  scikit-learn compatible implementation of stability selection.

  machine-learning statistics scikit-learn feature-selection
  Python BSD-3-Clause 37 143 13 2 Updated Aug 11, 2020

• polylearn

  A library for factorization machines and polynomial networks for classification and regression in Python.

  machine-learning factorization-machines polynomial-regression polynomial-networks
  Python BSD-2-Clause 39 215 6 1 Updated Aug 7, 2020

• metric-learn

  Metric learning algorithms in Python

  python machine-learning scikit-learn metric-learning
  Python MIT 210 1,059 45 2 Updated Aug 4, 2020

• forest-confidence-interval

  Confidence intervals for scikit-learn forest algorithms
  HTML MIT 35 197 14 2 Updated May 24, 2020

• scikit-learn-contrib

  scikit-learn compatible projects
  39 317 19 1 Updated Jan 4, 2020

• py-earth

  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  Python BSD-3-Clause 77 347 36 2 Updated Nov 30, 2019

• mimic

  mimic calibration

  machine-learning calibration
  Python BSD-3-Clause 4 14 0 0 Updated Oct 16, 2019

• scikit-learn-contrib.github.io

  Project webpage
  HTML 1 4 0 0 Updated Aug 8, 2016