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.


Reference manual

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0.0.3 by Alfonso R. Reyes, a year ago


Browse source code at https://github.com/cran/rTorch

Authors: Alfonso R. Reyes [aut, cre, cph] , Daniel Falbel [ctb, cph] , JJ Allaire [ctb, cph]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports logging, reticulate, jsonlite, utils, methods, R6, rstudioapi, data.table

Suggests testthat, knitr, rmarkdown

System requirements: PyTorch (https://pytorch.org/)

See at CRAN