Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R
using the 'libtorch' library. Also supports low-level tensor operations and
'GPU' acceleration.
| Version: |
0.16.1 |
| Imports: |
Rcpp, R6, withr, rlang (≥ 1.0.0), methods, utils, stats, bit64, magrittr, tools, coro (≥ 1.0.2), callr, cli (≥ 3.0.0), glue, desc, safetensors (≥ 0.1.1), jsonlite, scales |
| LinkingTo: |
Rcpp |
| Suggests: |
testthat (≥ 3.0.0), covr, knitr (≥ 1.36), rmarkdown, palmerpenguins, mvtnorm, numDeriv, katex |
| Published: |
2025-10-16 |
| DOI: |
10.32614/CRAN.package.torch |
| Author: |
Daniel Falbel [aut, cre, cph],
Javier Luraschi [aut],
Dmitriy Selivanov [ctb],
Athos Damiani [ctb],
Christophe Regouby [ctb],
Krzysztof Joachimiak [ctb],
Hamada S. Badr [ctb],
Sebastian Fischer [ctb],
Maximilian Pichler [ctb],
RStudio [cph] |
| Maintainer: |
Daniel Falbel <daniel at rstudio.com> |
| BugReports: |
https://github.com/mlverse/torch/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://torch.mlverse.org/docs, https://github.com/mlverse/torch |
| NeedsCompilation: |
yes |
| SystemRequirements: |
LibTorch (https://pytorch.org/); Only x86_64
platforms are currently supported except for ARM system running
macOS. |
| Materials: |
README, NEWS |
| In views: |
MachineLearning |
| CRAN checks: |
torch results |