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.
  ☆581Updated last year
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆638Updated last year
• 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
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆546Updated 2 years ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,372Updated 2 weeks 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…
  ☆674Updated 9 months ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆532Updated 8 months ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,169Updated 3 weeks ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,599Updated 2 weeks ago
• abhishekkrthakur / autoxgb
  XGBoost + Optuna
  ☆725Updated last year
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆833Updated 2 weeks ago
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆501Updated last month
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• shakedzy / dython
  A set of data tools in Python
  ☆507Updated 2 weeks ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,807Updated last week
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,522Updated last week
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆396Updated last month
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆495Updated 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…
  ☆544Updated 10 months ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆701Updated last month
• h2oai / pystacknet
  ☆296Updated 3 years ago
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆670Updated last week
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆509Updated 4 years ago
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,166Updated 2 months ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 8 months ago
• Alex-Lekov / AutoML_Alex
  State-of-the art Automated Machine Learning python library for Tabular Data
  ☆237Updated 2 years ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆651Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago