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 8 years ago
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆124Updated 4 years ago
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆112Updated last year
• bquast / rnn
  Recurrent Neural Networks in R
  ☆77Updated 2 years ago
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆88Updated last year
• AnotherSamWilson / ParBayesianOptimization
  Parallelizable Bayesian Optimization in R
  ☆115Updated 3 years ago
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆77Updated last year
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆94Updated last week
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆170Updated 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…
  ☆286Updated last year
• bnaras / cvxr_docs
  Source for CVXR website
  ☆30Updated last year
• ecpolley / SuperLearner
  Current version of the SuperLearner R package
  ☆285Updated last month
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆258Updated 7 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 5 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆84Updated 9 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆74Updated 4 years ago
• stan-dev / shinystan
  shinystan R package and ShinyStan GUI
  ☆200Updated 2 weeks ago
• ymattu / MlBayesOpt
  R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…
  ☆48Updated 6 years ago
• robjhyndman / thief
  Temporal HIErarchical Forecasting
  ☆48Updated 2 years ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆113Updated last week
• rasmusab / bayesian_first_aid
  Inside every classical test there is a Bayesian model trying to get out.
  ☆326Updated 9 years ago
• PetoLau / petolau.github.io
  Blog about time series data mining in R.
  ☆74Updated 2 years ago
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆79Updated 3 years ago
• Laurae2 / Laurae
  Advanced High Performance Data Science Toolbox for R by Laurae
  ☆205Updated 8 years ago
• zachmayer / caretEnsemble
  caret models all the way down
  ☆228Updated last week
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆64Updated last week
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆171Updated 3 years ago
• terrytangyuan / dml
  R package for Distance Metric Learning
  ☆58Updated 2 years ago
• pbiecek / breakDown
  Model Agnostics breakDown plots
  ☆104Updated last year
• openml / openml-r
  R package to interface with OpenML
  ☆99Updated last year