Alternatives and similar repositories for caret-machine-learning

Users that are interested in caret-machine-learning are comparing it to the libraries listed below

• ehrlinger / ggRandomForests
  Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.
  ☆147Updated last month
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 3 years ago
• drsimonj / pipelearner
  Tidy machine learning pipelines
  ☆133Updated 7 years ago
• jdonaldson / rtsne
  An R package for t-SNE (t-Distributed Stochastic Neighbor Embedding)
  ☆58Updated 5 years ago
• Coorsaa / shinyMlr
  shiny-mlr: Integration of the mlr package into shiny
  ☆93Updated 6 years ago
• r-tensorflow / autokeras
  Package: R Interface to AutoKeras
  ☆73Updated 4 years ago
• davesteps / machLearn
  Machine learning dashboard created with R/shiny
  ☆81Updated 3 years ago
• zachmayer / caretEnsemble
  caret models all the way down
  ☆227Updated 3 months ago
• WinVector / WVPlots
  Pre-packaged plots in R
  ☆85Updated last year
• hongooi73 / glmnetUtils
  Utilities for glmnet
  ☆65Updated last year
• tidymodels / tidyposterior
  Bayesian comparisons of models using resampled statistics
  ☆103Updated last month
• statistikat / VIM
  Visualization and Imputation of Missing Values
  ☆85Updated this week
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 2 months ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆69Updated 7 years ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 8 years ago
• mlampros / FeatureSelection
  Feature Selection in R using glmnet-lasso, xgboost and ranger
  ☆56Updated 9 months ago
• randel / MixRF
  A random-forest-based approach for imputing clustered incomplete data
  ☆35Updated 8 years ago
• bgreenwell / pdp
  A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
  ☆95Updated 2 years ago
• kbroman / RStudioConf2017Slides
  Links to slides for talks at the 2017 rstudio::conf
  ☆144Updated 3 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• ndphillips / FFTrees
  An R package to create and visualise fast-and-frugal decision trees (FFTs)
  ☆136Updated 7 months ago
• tobigithub / R-parallel
  Using R with many CPUs
  ☆49Updated 9 years ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆80Updated 6 years ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• ropensci-archive / umapr
  ARCHIVED Wraps UMAP Algorithm for Dimension Reduction
  ☆112Updated 3 years ago
• ymattu / MlBayesOpt
  R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…
  ☆47Updated 5 years ago
• STATWORX / bounceR
  Automated Feature Selection
  ☆65Updated 6 years ago
• pablo14 / funModeling
  R package: funModeling: data cleaning, importance variable analysis and model perfomance
  ☆100Updated last year
• openml / openml-r
  R package to interface with OpenML
  ☆98Updated last year
• edwindj / chunked
  Chunkwise Text-file Processing for 'dplyr'
  ☆167Updated 3 years ago