Alternatives and similar repositories for shap-hypetune:

Users that are interested in shap-hypetune are comparing it to the libraries listed below

• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆610Updated 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…
  ☆630Updated last month
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆535Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆203Updated 10 months ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆131Updated last month
• AutoViML / Auto_TS
  Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…
  ☆749Updated 7 months ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆508Updated 5 months ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆295Updated 9 months ago
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,350Updated this week
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆373Updated 7 months ago
• ing-bank / probatus
  SHAP RFE(CV)-based validation for (multiclass) linear and tree-based models.
  ☆134Updated this week
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆413Updated 6 months ago
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆569Updated 4 months ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆374Updated 8 months ago
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆586Updated 8 months ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated 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
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆829Updated last month
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆396Updated 10 months ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆193Updated last year
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆804Updated this week
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆161Updated 11 months ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆327Updated 5 months ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆168Updated last year
• abhishekkrthakur / autoxgb
  XGBoost + Optuna
  ☆693Updated 6 months ago
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆633Updated this week
• AutoViML / Auto_ViML
  Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…
  ☆535Updated last month
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆324Updated last year
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆227Updated this week
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆484Updated 11 months ago