Tensors and Neural Networks with 'GPU' Acceleration R package torch version 0.17.0 CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning) 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. Software 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 Tomasz Kalinowski <tomasz@posit.co> Comprehensive R Archive Network (CRAN) Tomasz Kalinowski [ctb, cre], Daniel Falbel [aut, 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] MIT + file LICENSE (https://CRAN.R-project.org/package=torch/LICENSE) 2026-04-11 application/tgz https://CRAN.R-project.org/package=torch doi:10.32614/CRAN.package.torch