Alternatives and similar repositories for dml

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

• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆87Updated last year
• rstudio / tfestimators
  R interface to TensorFlow Estimators
  ☆58Updated last week
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆80Updated 7 years ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆68Updated 7 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• rstudio / sparkapi
  Sparklyr Extensions API
  ☆32Updated 8 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 7 years ago
• wush978 / FeatureHashing
  Implement feature hashing with R
  ☆97Updated last year
• ramhiser / activelearning
  Active Learning in R
  ☆47Updated 8 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 3 years ago
• mlr-org / parallelMap
  R package to interface some popular parallelization backends with a unified interface
  ☆57Updated last year
• drsimonj / pipelearner
  Tidy machine learning pipelines
  ☆134Updated 8 years ago
• terrytangyuan / lfda
  Local Fisher Discriminant Analysis in R
  ☆76Updated 2 years ago
• jkrijthe / RSSL
  A Semi-Supervised Learning package for the R programming language
  ☆58Updated last year
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• jakob-r / mlrHyperopt
  Easy Hyper Parameter Optimization with mlr and mlrMBO.
  ☆31Updated 3 years ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 9 years ago
• suiji / Arborist
  Scalable decision tree training and inference.
  ☆83Updated 6 months ago
• ymattu / MlBayesOpt
  R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…
  ☆48Updated 5 years ago
• CODAIT / r4ml
  Scalable R for Machine Learning
  ☆43Updated 6 years ago
• adefazio / classifierplots
  Generates a visualization of binary classifier performance as a grid of diagonstic plots with just one function call
  ☆50Updated 4 years ago
• dselivanov / rsparse
  Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
  ☆178Updated 6 months ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 4 months ago
• sorhawell / forestFloor
  R package to visualize mapping structures of random forests with feature contributions
  ☆41Updated 3 years 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
• dalpozz / unbalanced
  Package that implements several techniques to re-balance or remove noisy instances in unbalanced datasets.
  ☆32Updated 3 years ago
• eddelbuettel / rvowpalwabbit
  R interface to the Vowpal Wabbit
  ☆23Updated 9 months ago
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆75Updated 9 months ago
• AlexIoannides / pipeliner
  Machine learning pipelines for R.
  ☆67Updated 8 years ago
• ehrlinger / ggRandomForests
  Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.
  ☆147Updated this week