Alternatives and similar repositories for scikit-feature:

Users that are interested in scikit-feature are comparing it to the libraries listed below

• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,561Updated 8 months ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆416Updated 2 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆853Updated last year
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆286Updated 3 years ago
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆772Updated last year
• duxuhao / Feature-Selection
  Features selector based on the self selected-algorithm, loss function and validation method
  ☆677Updated 5 years ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆502Updated 3 years ago
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆368Updated 2 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,623Updated this week
• andosa / treeinterpreter
  ☆757Updated last year
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,437Updated 3 weeks ago
• WillKoehrsen / feature-selector
  Feature selector is a tool for dimensionality reduction of machine learning datasets
  ☆2,241Updated 10 months ago
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,267Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆484Updated last year
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated 2 weeks ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆931Updated last year
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,968Updated this week
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆419Updated last year
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆324Updated last year
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆633Updated last year
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,432Updated 7 months ago
• entron / entity-embedding-rossmann
  ☆873Updated 5 years ago
• ClimbsRocks / auto_ml
  [UNMAINTAINED] Automated machine learning for analytics & production
  ☆1,644Updated 4 years ago
• alexminnaar / time-series-classification-and-clustering
  Time series classification and clustering code written in Python.
  ☆792Updated 4 years ago
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆488Updated 7 years ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,766Updated last year
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆610Updated 3 weeks ago
• Yimeng-Zhang / feature-engineering-and-feature-selection
  A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
  ☆1,538Updated 2 years ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆853Updated 7 months ago