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rTorch
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]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-05
Latest Update:
Description:
'R' implementation and interface of the Machine Learning platform
'PyTorch' 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. Accessed 15 Sep. 2026.
Previous versions and publish date:
Other packages that cited rTorch R package
View rTorch citation profile
Other R packages that rTorch depends,
imports, suggests or enhances
Complete documentation for rTorch
Functions, R codes and Examples using
the rTorch R package
Some associated functions: all.torch.Tensor . all_dims . any.torch.Tensor . as_boolean . dataset_mnist_digits . dim.torch.Tensor . dot-torch.Tensor . equals-.torch.Tensor . grapes-.-times-grapes . grapes-grapes-.torch.Tensor . grapes-times-times-grapes . greater-than-.torch.Tensor . greater-than-equals-.torch.Tensor . install_pytorch . install_torch_extras . is_tensor . length.torch.Tensor . less-than-.torch.Tensor . less-than-equals-.torch.Tensor . log.torch.Tensor . log10.torch.Tensor . log2.torch.Tensor . logical_and . logical_not . logical_or . make_copy . modules . not_equal_to . one_tensor_op . plus-.torch.Tensor . rTorch . reexports . shape . slash-.torch.Tensor . sub-.torch.Tensor . tensor_ops . times-.torch.Tensor . torch_config . torch_extract_opts . torch_size .
Some associated R codes: extract.R . generics.R . help.R . install.R . modules.R . package.R . properties.R . python_functions.R . reexports.R . types.R . utils.R . Full rTorch package functions and examples
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