danielhomola / mifs

Related projects ⓘ

Alternatives and complementary repositories for mifs

• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆408Updated last year
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆210Updated last year
• fbrundu / pymrmr
  Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
  ☆138Updated this week
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆219Updated 3 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆207Updated 4 years ago
• sramirez / fast-mRMR
  An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
  ☆82Updated 2 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆481Updated 6 months ago
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆324Updated 9 months ago
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆363Updated last year
• JamesRitchie / scikit-rvm
  Relevance Vector Machine implementation using the scikit-learn API.
  ☆230Updated 7 years ago
• danilkolikov / fsfc
  Feature Selection for Clustering
  ☆93Updated 6 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆240Updated 8 months ago
• jundongl / scikit-feature
  open-source feature selection repository in python
  ☆1,510Updated 3 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆846Updated 11 months ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆411Updated 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,…
  ☆106Updated 7 months ago
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆213Updated 4 months ago
• gm-spacagna / deep-ttf
  Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
  ☆234Updated 6 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆172Updated 2 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆625Updated 9 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆582Updated 8 months ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆304Updated 8 months ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆416Updated 11 months ago
• dialnd / imbalanced-algorithms
  Python-based implementations of algorithms for learning on imbalanced data.
  ☆235Updated 2 years ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆354Updated 3 years ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆102Updated last year
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆75Updated 5 years ago
• 8bit-pixies / scikit-feature
  ☆32Updated last year
• navicto / Discretization-MDLPC
  Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)
  ☆60Updated 6 years ago