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.
  ☆420Updated 2 years ago
• fbrundu / pymrmr
  Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
  ☆141Updated 8 months ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆213Updated 2 years ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆223Updated 4 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆491Updated last year
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆229Updated last year
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆206Updated 5 years ago
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆322Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆244Updated 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
• danilkolikov / fsfc
  Feature Selection for Clustering
  ☆96Updated 7 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆185Updated 3 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆363Updated 3 years ago
• JamesRitchie / scikit-rvm
  Relevance Vector Machine implementation using the scikit-learn API.
  ☆238Updated last week
• sramirez / fast-mRMR
  An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
  ☆83Updated 3 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆424Updated last year
• dmbee / seglearn
  Python module for machine learning time series:
  ☆575Updated 3 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆411Updated 4 months ago
• nnikolaou / Cost-sensitive-Boosting-Tutorial
  Tutorial on cost-sensitive boosting and calibrated AdaMEC.
  ☆26Updated 8 years ago
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆371Updated 2 years ago
• shiralkarprashant / FCBF
  Houses implementation of the Fast Correlation-Based Filter (FCBF) feature selection method.
  ☆61Updated 3 years ago
• jundongl / scikit-feature
  open-source feature selection repository in python
  ☆1,549Updated last year
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆327Updated last year
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆213Updated 2 years ago
• mohaseeb / shaplets-python
  Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient des…
  ☆222Updated 5 years ago
• NoRaincheck / scikit-feature
  ☆33Updated 6 months ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆77Updated 5 years ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆136Updated last year