Tensors and Neural Networks with 'GPU' Acceleration

Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.


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Reference manual

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install.packages("torch")

0.1.1 by Daniel Falbel, 4 days ago


https://torch.mlverse.org/docs, https://github.com/mlverse/torch


Report a bug at https://github.com/mlverse/torch/issues


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


Authors: Daniel Falbel [aut, cre, cph] , Javier Luraschi [aut, cph] , Dmitriy Selivanov [ctb] , Athos Damiani [ctb] , RStudio [cph]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports Rcpp, R6, withr, rlang, methods, utils, stats, bit64, magrittr

Suggests testthat, covr, knitr, rmarkdown, glue, palmerpenguins

Linking to Rcpp

System requirements: C++11, LibTorch (https://pytorch.org/)


See at CRAN