Alternatives and similar repositories for mldr:

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

• ncordon / imbalance
  ☆36Updated 5 years ago
• ncordon / smartdata
  R package for data preprocessing
  ☆13Updated 5 years ago
• jkrijthe / RSSL
  A Semi-Supervised Learning package for the R programming language
  ☆58Updated last year
• matloff / revisit
  ☆38Updated 6 years ago
• gdkrmr / dimRed
  A Framework for Dimensionality Reduction in R
  ☆73Updated this week
• stan-dev / stan-dev.github.io
  Stan website built using Quarto, theming in repo quarto-config
  ☆20Updated last week
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• dselivanov / LSHR
  Locality Sensitive Hashing In R
  ☆41Updated 6 years ago
• Laurae2 / lgbdl
  LightGBM Online Installer [ devtools::install_github("Laurae2/lgbdl") ]
  ☆16Updated 6 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 10 years ago
• mewo2 / medley
  A system for blending regression models in R
  ☆75Updated 12 years ago
• terrytangyuan / dml
  R package for Distance Metric Learning
  ☆58Updated last year
• wrathematics / RparallelGuide
  A guide to parallel R, including OpenMP. Kind of.
  ☆38Updated 9 years ago
• ledell / cvAUC
  Computationally efficient confidence intervals for cross-validated AUC estimates in R
  ☆23Updated 3 years ago
• rcppmlpack / RcppMLPACK1
  ☆60Updated 4 years ago
• boost-R / FDboost
  Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
  ☆17Updated last month
• Tazinho / Tidyverse-Cookbook
  ☆23Updated 6 years ago
• eddelbuettel / rvowpalwabbit
  R interface to the Vowpal Wabbit
  ☆23Updated 2 months ago
• runehaubo / ordinal
  R package ordinal: Regression Models for Ordinal Data
  ☆35Updated last month
• mlampros / fastTextR
  Efficient learning of word representations
  ☆22Updated 3 years ago
• rstudio / Strata2016
  Materials for Nathan and Garrett's tutorial R for Big Data
  ☆17Updated 8 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
• Pooja-Rajkumar / rectools
  Advanced package for recommender systems
  ☆19Updated 7 years ago
• bmihaljevic / bnclassify
  Learning Discrete Bayesian Network Classifiers from Data
  ☆18Updated 10 months ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 6 years ago
• goldingn / gpe
  Gaussian process everything - an R package to reimplement and combine common statistical models using GPs
  ☆27Updated 6 years ago
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆57Updated last year
• ecpolley / SuperLearnerExtra
  Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…
  ☆19Updated 11 months ago
• lantanacamara / lightgbmExplainer
  An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…
  ☆23Updated 5 years ago
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆20Updated last year