Alternatives and similar repositories for random-forest-importances

Users that are interested in random-forest-importances are comparing it to the libraries listed below

• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆649Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆493Updated last year
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆421Updated 2 years ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆425Updated 2 years ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,595Updated this week
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated 7 months ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆366Updated 5 years ago
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆323Updated last year
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆360Updated 4 years ago
• scikit-learn-contrib / project-template
  A template for scikit-learn extensions
  ☆338Updated 9 months ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆727Updated 10 months ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆291Updated 6 months ago
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆925Updated last month
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆170Updated 2 years ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆700Updated last week
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆638Updated last year
• shakedzy / dython
  A set of data tools in Python
  ☆507Updated last week
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆761Updated 4 years ago
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆469Updated 2 years ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆227Updated 4 years ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆681Updated last year
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆849Updated 8 months ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,647Updated 6 months ago