rTorch: R Bindings to 'PyTorch'

'R' implementation and interface of the Machine Learning platform 'PyTorch' <https://pytorch.org/> developed in 'Python'. It requires a 'conda' environment with 'torch' and 'torchvision' to provide 'PyTorch' functions, methods and classes. The key object in 'PyTorch' is the tensor which is in essence a multidimensional array. These tensors are fairly flexible to perform calculations in CPUs as well as 'GPUs' to accelerate the process.

Version: 0.4.0
Depends: R (≥ 3.1)
Imports: reticulate (≥ 1.10), jsonlite (≥ 1.2), utils, methods, rstudioapi (≥ 0.7)
Suggests: testthat, knitr, rmarkdown
Published: 2020-10-09
Author: Alfonso R. Reyes [aut, cre, cph]
Maintainer: Alfonso R. Reyes <alfonso.reyes at oilgainsanalytics.com>
BugReports: https://github.com/f0nzie/rTorch/issues
License: MIT + file LICENSE
URL: https://github.com/f0nzie/rTorch
NeedsCompilation: no
SystemRequirements: conda (python=3.6 pytorch torchvision cpuonly matplotlib pandas -c pytorch)
Materials: README NEWS
CRAN checks: rTorch results


Reference manual: rTorch.pdf
Vignettes: Installation
Package source: rTorch_0.4.0.tar.gz
Windows binaries: r-devel: rTorch_0.0.3.zip, r-release: rTorch_0.0.3.zip, r-oldrel: rTorch_0.0.3.zip
macOS binaries: r-release: rTorch_0.0.3.tgz, r-oldrel: rTorch_0.0.3.tgz
Old sources: rTorch archive


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