Alternatives and similar repositories for starboost:

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

• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆37Updated last week
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆23Updated 2 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• raphaelsty / abayes
  Autoregressive Bayesian linear model
  ☆21Updated 4 years ago
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆28Updated 4 months ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 5 months ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 10 months ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆50Updated last month
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆38Updated last week
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆30Updated 3 years ago
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆120Updated this week
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated 8 months ago
• pcerda / string_categorical_encoders
  Scripts for paper "Encoding high-cardinality string categorical variables"
  ☆24Updated 5 years ago
• mthorrell / gbnet
  Gradient Boosting Modules for pytorch
  ☆20Updated this week
• scikit-learn-contrib / mimic
  mimic calibration
  ☆21Updated 5 years ago
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆34Updated last month
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆26Updated this week
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated 9 months ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• Yard1 / hpbandster-sklearn
  A scikit-learn wrapper for HpBandSter hyper parameter search.
  ☆22Updated 2 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated last year
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 2 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆25Updated 4 years ago
• numeristical / structureboost
  Gradient boosting using categorical structure
  ☆23Updated 9 months ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆47Updated this week
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆65Updated 11 months ago