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^.git | ||
^\.travis\.yml$ | ||
^appveyor\.yml$ | ||
^cran-comments\.md$ |
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Package: rTorch | ||
Title: R Bindings to 'PyTorch' | ||
Version: 0.0.2 | ||
Version: 0.0.3 | ||
Authors@R: c( | ||
person("Alfonso R.", "Reyes", role = c("aut", "cre", "cph"), email = "[email protected]"), | ||
person("Daniel", "Falbel", role = c("ctb", "cph"), email = "[email protected]"), | ||
person("JJ", "Allaire", role = c("ctb", "cph")) | ||
) | ||
Description: R implementation and interface of the Machine Learning platform | ||
'PyTorch' <https://pytorch.org/> developed in Python. It requires a 'conda' | ||
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' 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'. | ||
calculations in CPUs as well as 'GPUs' to accelerate the process. | ||
License: MIT + file LICENSE | ||
Encoding: UTF-8 | ||
LazyData: true | ||
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