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rTorch  

R Bindings to 'PyTorch'
View on CRAN: Click here


Download and install rTorch package within the R console
Install from CRAN:
install.packages("rTorch")

Install from Github:
library("remotes")
install_github("cran/rTorch")

Install by package version:
library("remotes")
install_version("rTorch", "0.4.2")



Attach the package and use:
library("rTorch")
Maintained by
Alfonso R. Reyes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-05
Latest Update: 2020-10-12
Description:
'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' Python packages 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 in performing calculations in CPUs as well as 'GPUs' to accelerate tensor operations.
How to cite:
Alfonso R. Reyes (2019). rTorch: R Bindings to 'PyTorch'. R package version 0.4.2, https://cran.r-project.org/web/packages/rTorch
Previous versions and publish date:
0.0.3 (2019-08-05 17:40), 0.4.0 (2020-10-09 07:30)
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