Cloud-based MPI Parallel Proccessing for R (cloudRmpi)
cloudRmpi is means for doing parallel processing in R,
using MPI on a cloud-based network.  It currently supports the
use of Amazon's EC2 cloud computer service. cloudRmpi provides
a mechanism to launch and manage a cloud-based network and to
access an R session on the network's master MPI node (using the
rreval package). cloudRmpi should work with any MPI based R
package (it has been tested with Rmpi, npRmpi, and snow).
Java (>=1.6); see the cloudRmpi manual (vignette)
for details.

Cloud-based MPI Parallel Processing for R (cloudRmpi)
cloudRmpiJars (>= 1.1), rreval (>= 1.1), digest

This package contains third-party Java class jars used by
cloudRmpi.  cloudRmpi is a means for doing parallel processing
in R, using MPI on a cloud-based network.

Simple helper functions to fetch and read data from various formats stored on Amazon AWS S3 Buckets <https://aws.amazon.com/s3/> . Most functions are essentially wrapping over cloudyR <https://cloudyr.github.io/> which is a project and group of packages which provide easier cloud computing solutions for R.

Christian Panse <cp@fgcz.ethz.ch>, Ermir Qeli <ermir.qeli@gmail.com>
Provides means of plots for comparing utilization data of compute systems.

Christian Panse <cp@fgcz.ethz.ch>, Ermir Qeli
<ermir.qeli@gmail.com>
Provides means of plots for comparing utilization data of
compute systems.

Interface to the Google Cloud Machine Learning Platform
c(
person("Javier", "Luraschi", email = "javier@rstudio.com", role = c("aut", "cre")),
person("JJ", "Allaire", role = c("aut")),
person("Kevin", "Ushey", role = c("aut")),
person(family = "RStudio", role = c("cph"))
)
Interface to the Google Cloud Machine Learning Platform
<https://cloud.google.com/ml-engine>, which provides cloud tools for training machine
learning models.
jsonlite, packrat, processx, rprojroot, rstudioapi, tools,
utils, withr, yaml, config
tensorflow (>= 1.4.2), keras (>= 2.1.2), knitr, testthat
Javier Luraschi [aut, cre],
JJ Allaire [aut],
Kevin Ushey [aut],
RStudio [cph]