Alternatives and similar repositories for mlrMBO:

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

• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆122Updated 3 years ago
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆85Updated 10 months ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆171Updated last year
• AnotherSamWilson / ParBayesianOptimization
  Parallelizable Bayesian Optimization in R
  ☆107Updated 2 years 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 last month
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆111Updated last month
• openml / openml-r
  R package to interface with OpenML
  ☆96Updated 8 months ago
• ymattu / MlBayesOpt
  R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…
  ☆46Updated 5 years ago
• koalaverse / vip
  Variable Importance Plots (VIPs)
  ☆187Updated last year
• rasmusab / bayesian_first_aid
  Inside every classical test there is a Bayesian model trying to get out.
  ☆326Updated 8 years ago
• drsimonj / pipelearner
  Tidy machine learning pipelines
  ☆133Updated 7 years ago
• zachmayer / caretEnsemble
  caret models all the way down
  ☆226Updated last month
• bquast / rnn
  Recurrent Neural Networks in R
  ☆76Updated last year
• ndphillips / FFTrees
  An R package to create and visualise fast-and-frugal decision trees (FFTs)
  ☆135Updated 3 months ago
• greta-dev / greta
  simple and scalable statistical modelling in R
  ☆562Updated 2 weeks ago
• luca-scr / GA
  An R package for optimization using genetic algorithms
  ☆93Updated 5 months ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆84Updated 8 years ago
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆72Updated 3 months ago
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆254Updated 6 years ago
• Laurae2 / Laurae
  Advanced High Performance Data Science Toolbox for R by Laurae
  ☆204Updated 7 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 6 years ago
• robjhyndman / thief
  Temporal HIErarchical Forecasting
  ☆48Updated last year
• cdeterman / gpuR
  R interface to use GPU's
  ☆241Updated 4 years ago
• bgreenwell / pdp
  A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
  ☆93Updated 2 years ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆165Updated 2 years ago
• suiji / Arborist
  Scalable decision tree training and inference.
  ☆83Updated last week
• stan-dev / projpred
  Projection predictive variable selection
  ☆111Updated this week
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆72Updated 3 years ago
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆91Updated this week