Alternatives and similar repositories for sktools

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

• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• MaxHalford / starboost
  Gradient boosting on steroids
  ☆28Updated last year
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆145Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆156Updated last year
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 5 months ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 2 years ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆59Updated last year
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆74Updated 2 weeks ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated last year
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆26Updated 5 years ago
• david-cortes / costsensitive
  (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
  ☆48Updated 2 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆73Updated last year
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 5 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 3 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated last year
• AidanCooper / shap-clustering
  How to use SHAP values for better cluster analysis
  ☆59Updated 3 years ago
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆90Updated 11 months ago
• saattrupdan / doubt
  Bringing back uncertainty to machine learning.
  ☆53Updated last year
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆85Updated 5 years ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆41Updated last year