Alternatives and similar repositories for mlrMBO:

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

• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆122Updated 3 years ago
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆110Updated 2 months ago
• openml / openml-r
  R package to interface with OpenML
  ☆97Updated 9 months ago
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆85Updated 11 months ago
• WinVector / vtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆285Updated 2 months ago
• tidyverts / feasts
  Feature Extraction And Statistics for Time Series
  ☆300Updated 4 months ago
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• koalaverse / vip
  Variable Importance Plots (VIPs)
  ☆187Updated last year
• AnotherSamWilson / ParBayesianOptimization
  Parallelizable Bayesian Optimization in R
  ☆109Updated 2 years ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆112Updated last month
• stan-dev / loo
  loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
  ☆152Updated this week
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆167Updated 2 years ago
• stan-dev / bayesplot
  bayesplot R package for plotting Bayesian models
  ☆438Updated last month
• stan-dev / shinystan
  shinystan R package and ShinyStan GUI
  ☆200Updated 2 months ago
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆72Updated 4 months ago
• giuseppec / iml
  iml: interpretable machine learning R package
  ☆494Updated 3 weeks ago
• stan-dev / rstanarm
  rstanarm R package for Bayesian applied regression modeling
  ☆393Updated 8 months ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆144Updated 7 years ago
• ecpolley / SuperLearner
  Current version of the SuperLearner R package
  ☆274Updated last year
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆90Updated last week
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆85Updated 8 years ago
• rasmusab / bayesian_first_aid
  Inside every classical test there is a Bayesian model trying to get out.
  ☆327Updated 8 years ago
• zachmayer / caretEnsemble
  caret models all the way down
  ☆226Updated 3 weeks ago
• stan-dev / stancon_talks
  Materials from Stan conferences
  ☆254Updated 4 years ago
• greta-dev / greta
  simple and scalable statistical modelling in R
  ☆569Updated last week
• cvxgrp / CVXR
  An R modeling language for convex optimization problems.
  ☆207Updated 4 months ago
• cdeterman / gpuR
  R interface to use GPU's
  ☆242Updated 4 years ago
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆254Updated 6 years ago
• Blunde1 / agtboost
  Adaptive and automatic gradient boosting computations.
  ☆68Updated 2 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 6 years ago