Alternatives and similar repositories for sklearn-genetic

Users that are interested in sklearn-genetic are comparing it to the libraries listed below

• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆370Updated 2 years ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆628Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆491Updated last year
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆213Updated 2 years ago
• 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
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆522Updated 5 months ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆244Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆249Updated last year
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆363Updated 3 years ago
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆467Updated last year
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆139Updated 4 months ago
• jaswinder9051998 / zoofs
  zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…
  ☆248Updated 2 months ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆223Updated 4 years ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆387Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• nickkunz / smogn
  Synthetic Minority Over-Sampling Technique for Regression
  ☆344Updated last year
• maximtrp / scikit-posthocs
  Multiple Pairwise Comparisons (Post Hoc) Tests in Python
  ☆371Updated 3 weeks ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated 2 years ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 5 months ago
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆197Updated 2 weeks ago
• ctlab / ITMO_FS
  Feature selection library in python
  ☆147Updated 3 weeks ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆169Updated 2 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆424Updated last year
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆151Updated 4 months ago
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆286Updated 3 years ago
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆460Updated 2 weeks ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆380Updated last year
• AutoViML / featurewiz
  Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…
  ☆663Updated 6 months ago
• cokelaer / fitter
  Fit data to many distributions
  ☆404Updated 2 months ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆578Updated last year