Alternatives and similar repositories for Deep-Learning-with-h2o-in-R

Users that are interested in Deep-Learning-with-h2o-in-R are comparing it to the libraries listed below

• 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
• CODAIT / r4ml
  Scalable R for Machine Learning
  ☆43Updated 6 years ago
• rstudio / sparkapi
  Sparklyr Extensions API
  ☆32Updated 8 years ago
• delta-rho / datadr
  Divide and Recombine
  ☆68Updated 8 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
• h2oai / data-science-examples
  A collection of data science examples implemented across a variety of languages and libraries.
  ☆33Updated 9 years ago
• mewo2 / medley
  A system for blending regression models in R
  ☆76Updated 12 years ago
• WLOGSolutions / telco-customer-churn-in-r-and-h2o
  Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
  ☆58Updated 7 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
• rajshah4 / outliers_shiny
  2D Outlier Analysis using Shiny
  ☆48Updated 3 years ago
• WLOGSolutions / retail-segmentation-based-marketing-campaing-in-r-and-h2o
  Showcase for using H2O and R for scoring for marketing campaign in retail
  ☆54Updated 6 years ago
• rstudio / Strata2016
  Materials for Nathan and Garrett's tutorial R for Big Data
  ☆17Updated 8 years ago
• r-spark / sparkhello
  sparkhello: Scala to Spark - Hello World
  ☆19Updated 8 years ago
• saraswatmks / Machine-Learning-in-R
  This repository contains my ML scripts in R
  ☆33Updated 8 years ago
• elbamos / Zeppelin-With-R
  Mirror of Apache Zeppelin (Incubating)
  ☆45Updated 9 years ago
• h2oai / rsparkling
  RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)
  ☆62Updated 7 years ago
• maddin79 / darch
  Create deep architectures in the R programming language
  ☆71Updated 7 years ago
• andrie / RHadoop-tutorial
  A tutorial on R and Hadoop, using the RHadoop project
  ☆41Updated 10 years ago
• eddelbuettel / rvowpalwabbit
  R interface to the Vowpal Wabbit
  ☆23Updated 9 months ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 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
• xsankar / deepLearnR
  R interface to Tensorflow via skflow
  ☆18Updated 9 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 4 months ago
• ramnathv / rNotebook
  A browser based R Notebook
  ☆125Updated 11 years ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆68Updated 7 years ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆80Updated 7 years ago
• AlexIoannides / pipeliner
  Machine learning pipelines for R.
  ☆67Updated 8 years ago
• Ermlab / lightning-rstat
  R client for the lightning-viz server API http://lightning-viz.org/
  ☆31Updated 9 years ago
• topepo / R-Ladies-London
  Code and Slides for "Whose Scat Is That? An 'Easily Digestible' Introduction to Predictive Modeling in R and the caret Package"
  ☆16Updated 8 years ago
• woobe / blenditbayes
  Code used in my blog "Blend it like a Bayesian!"
  ☆77Updated 10 years ago