Alternatives and similar repositories for PDPbox

Users that are interested in PDPbox are comparing it to the libraries listed below

• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 5 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆644Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,588Updated last week
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,643Updated 4 months ago
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆468Updated last year
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆423Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆492Updated last year
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆916Updated last month
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,460Updated 2 months ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆807Updated 3 years ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆694Updated 2 weeks ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,771Updated this week
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,775Updated 4 months ago
• awslabs / datawig
  Imputation of missing values in tables.
  ☆491Updated last year
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,354Updated 2 months 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, …
  ☆682Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆541Updated 2 years ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆836Updated 6 months ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆728Updated 8 months ago
• shakedzy / dython
  A set of data tools in Python
  ☆504Updated 8 months ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆764Updated 4 years ago
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,277Updated last year
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,156Updated 8 months ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated 5 months ago
• ModelOriented / DALEX
  moDel Agnostic Language for Exploration and eXplanation
  ☆1,439Updated last month
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆362Updated 3 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