Alternatives and similar repositories for medley

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

• terrytangyuan / dml
  R package for Distance Metric Learning
  ☆58Updated 2 years ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆68Updated 7 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• woobe / deepr
  An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
  ☆46Updated 10 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 3 years ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆80Updated 7 years ago
• CODAIT / r4ml
  Scalable R for Machine Learning
  ☆43Updated 7 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 5 months ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• rstudio / sparkapi
  Sparklyr Extensions API
  ☆32Updated 9 years ago
• rstudio / tfestimators
  R interface to TensorFlow Estimators
  ☆58Updated 3 weeks ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 7 years ago
• eddelbuettel / rvowpalwabbit
  R interface to the Vowpal Wabbit
  ☆23Updated 9 months ago
• aloysius-lim / bigrf
  Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
  ☆91Updated 9 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 3 years ago
• boost-R / gamboostLSS
  Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The …
  ☆26Updated 6 months ago
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆87Updated last year
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 9 years ago
• andrie / RHadoop-tutorial
  A tutorial on R and Hadoop, using the RHadoop project
  ☆41Updated 10 years ago
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 8 years ago
• sorhawell / forestFloor
  R package to visualize mapping structures of random forests with feature contributions
  ☆41Updated 3 years ago
• andland / libFMexe
  libFM R package
  ☆26Updated 9 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 7 years ago
• bquast / rnn
  Recurrent Neural Networks in R
  ☆77Updated 2 years ago
• maddin79 / darch
  Create deep architectures in the R programming language
  ☆71Updated 7 years ago
• tobigithub / caret-machine-learning
  Practical examples for the R caret machine learning package
  ☆69Updated 8 years ago
• cbergmeir / RSNNS
  RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS)
  ☆27Updated last year
• kapelner / ICEbox
  An R package for better visualizing a statistical learning model
  ☆35Updated 3 years ago
• yixuan / rARPACK
  Solvers for Large Scale Eigenvalue and SVD Problems
  ☆45Updated 9 years ago
• jeffwong / imputation
  R package for data imputation. Fills missing values in a numeric matrix
  ☆38Updated 11 years ago