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)
  ☆367Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆482Updated 9 months ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆415Updated last year
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆209Updated last year
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆506Updated 4 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆603Updated 11 months ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆219Updated 3 years ago
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆772Updated 11 months 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
• ing-bank / probatus
  Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
  ☆133Updated 5 months ago
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆192Updated 3 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆625Updated 11 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆848Updated last year
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆553Updated 2 months ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,545Updated 5 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆371Updated 5 months ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆162Updated last year
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆286Updated 3 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆244Updated last year
• rodrigo-arenas / Sklearn-genetic-opt
  ML hyperparameters tuning and features selection, using evolutionary algorithms.
  ☆325Updated this week
• jaswinder9051998 / zoofs
  zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…
  ☆245Updated last month
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆358Updated 3 years ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆125Updated last week
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆129Updated 7 months ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆240Updated 11 months ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆286Updated 6 months ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆411Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆202Updated 8 months ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆570Updated 7 months ago
• 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…
  ☆596Updated 8 months ago