Alternatives and similar repositories for mifs

Users that are interested in mifs are comparing it to the libraries listed below

• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆418Updated 2 years ago
• fbrundu / pymrmr
  Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
  ☆140Updated 5 months ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆222Updated 4 years ago
• JamesRitchie / scikit-rvm
  Relevance Vector Machine implementation using the scikit-learn API.
  ☆235Updated 8 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆208Updated 4 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆488Updated last year
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆370Updated 2 years ago
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆227Updated 11 months ago
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆323Updated last year
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆323Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆856Updated last year
• OpenIDEA-YunanUniversity / ycimpute
  A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…
  ☆107Updated last year
• jundongl / scikit-feature
  open-source feature selection repository in python
  ☆1,542Updated 10 months ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆420Updated last year
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆244Updated last year
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆287Updated 11 months ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆419Updated last year
• dmbee / seglearn
  Python module for machine learning time series:
  ☆576Updated 2 years ago
• sramirez / fast-mRMR
  An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
  ☆83Updated 3 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆288Updated last month
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆282Updated last year
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆183Updated 3 years ago
• NoRaincheck / scikit-feature
  ☆32Updated 3 months ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆359Updated 3 years ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆133Updated last year
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆637Updated last year
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆518Updated 3 years ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆503Updated 3 years ago