Alternatives and similar repositories for tune-sklearn

Users that are interested in tune-sklearn are comparing it to the libraries listed below

• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆551Updated 2 years ago
• Neuraxio / Neuraxle
  The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…
  ☆614Updated 8 months ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆496Updated last year
• eli5-org / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆324Updated 8 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated 2 years ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆642Updated last year
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆584Updated last year
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated 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…
  ☆677Updated 10 months ago
• shakedzy / dython
  A set of data tools in Python
  ☆511Updated this week
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,376Updated last month
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆841Updated last week
• adriangb / scikeras
  Scikit-Learn API wrapper for Keras.
  ☆249Updated last year
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆535Updated last week
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆855Updated 11 months ago
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆324Updated last year
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆172Updated this week
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆199Updated last month
• awslabs / datawig
  Imputation of missing values in tables.
  ☆491Updated last year
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆153Updated 8 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆402Updated 2 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆656Updated last year
• dabl / dabl
  Data Analysis Baseline Library
  ☆728Updated last year
• firmai / deltapy
  DeltaPy - Tabular Data Augmentation (by @firmai)
  ☆556Updated 2 years ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆621Updated 9 months ago
• scikit-multiflow / scikit-multiflow
  A machine learning package for streaming data in Python. The other ancestor of River.
  ☆790Updated 2 years ago
• koaning / doubtlab
  Doubt your data, find bad labels.
  ☆517Updated last year
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,566Updated last month
• AutoViML / Auto_ViML
  Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…
  ☆546Updated 11 months ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆436Updated 2 years ago