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: | 0.16.3 |
| 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: | 2025-11-02 |
| 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 + fileLICENSE |
| URL: | https://torch.mlverse.org/docs,https://github.com/mlverse/torch |
| NeedsCompilation: | yes |
| SystemRequirements: | LibTorch (https://pytorch.org/); Only x86_64platforms are currently supported except for ARM system runningmacOS. |
| Materials: | README,NEWS |
| In views: | MachineLearning |
| CRAN checks: | torch results |