Alternatives and similar repositories for medley

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

• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 3 months ago
• woobe / deepr
  An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
  ☆45Updated 10 years ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆68Updated 7 years ago
• zachmayer / rbm
  Restricted Boltzmann Machines in R
  ☆36Updated 4 years ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆80Updated 6 years 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
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 9 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• eddelbuettel / rvowpalwabbit
  R interface to the Vowpal Wabbit
  ☆23Updated 7 months ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 7 years ago
• maddin79 / darch
  Create deep architectures in the R programming language
  ☆71Updated 7 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 7 years ago
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• terrytangyuan / dml
  R package for Distance Metric Learning
  ☆58Updated 2 years ago
• CODAIT / r4ml
  Scalable R for Machine Learning
  ☆43Updated 6 years ago
• rstudio / sparkapi
  Sparklyr Extensions API
  ☆32Updated 8 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 3 years ago
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 8 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 2 years ago
• tonyfischetti / bayesian-regularization
  A demonstration of Bayesian approaches to linear model regularization
  ☆17Updated 8 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 4 months ago
• rstudio / tfestimators
  R interface to TensorFlow Estimators
  ☆58Updated 3 years ago
• cbergmeir / RSNNS
  RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS)
  ☆27Updated last year
• szilard / kaggle-scripts-R-pydata
  Kaggle scripts: R vs pydata + most popular R and Python packages for Machine Learning
  ☆11Updated 8 years ago
• kapelner / ICEbox
  An R package for better visualizing a statistical learning model
  ☆35Updated 2 years ago
• rstudio / Strata2016
  Materials for Nathan and Garrett's tutorial R for Big Data
  ☆17Updated 8 years ago
• Amherst-Statistics / JSM2016-thinkwithR
  JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts
  ☆23Updated 8 years ago
• davpinto / fastknn
  Fast k-Nearest Neighbors Classifier for Large Datasets
  ☆69Updated 7 years ago
• andrie / RHadoop-tutorial
  A tutorial on R and Hadoop, using the RHadoop project
  ☆41Updated 9 years ago
• dcl-2017-01 / curriculum
  Draft syllabus for the Data Challenge Lab
  ☆23Updated 8 years ago