Alternatives and similar repositories for lofo-importance

Users that are interested in lofo-importance are comparing it to the libraries listed below

• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆579Updated last year
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆468Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆541Updated 2 years ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆631Updated 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
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,354Updated 2 months ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,125Updated this week
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆523Updated 5 months ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,491Updated 2 weeks ago
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,156Updated 8 months ago
• shakedzy / dython
  A set of data tools in Python
  ☆504Updated 8 months ago
• abhishekkrthakur / autoxgb
  XGBoost + Optuna
  ☆716Updated 11 months ago
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆490Updated last week
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 5 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆250Updated last year
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,588Updated last week
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆341Updated 11 months ago
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆826Updated this week
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,771Updated this week
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆390Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆492Updated last year
• AutoViML / Auto_ViML
  Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…
  ☆541Updated 7 months ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆152Updated 4 months ago
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆643Updated last month
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆644Updated last year
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆694Updated 2 weeks ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆423Updated last year
• eli5-org / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆306Updated 4 months ago
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆499Updated 4 years ago