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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: | 0.13.0 |
| Imports: | Rcpp, R6, withr, rlang, methods, utils, stats, bit64, magrittr, tools, coro (≥ 1.0.2), callr, cli (≥ 3.0.0), glue, ellipsis, desc, safetensors (≥ 0.1.1), jsonlite |
| LinkingTo: | Rcpp |
| Suggests: | testthat (≥ 3.0.0), covr, knitr (≥ 1.36), rmarkdown, palmerpenguins, mvtnorm, numDeriv, katex |
| Published: | 2024-05-21 |
| 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], 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 |
| Reference manual: | torch.pdf |
| Vignettes: |
Distributions Extending Autograd Indexing tensors Installation Loading data Python to R Serialization Creating tensors TorchScript Using autograd |
| Package source: | torch_0.13.0.tar.gz |
| Windows binaries: | r-devel: torch_0.13.0.zip, r-release: torch_0.13.0.zip, r-oldrel: torch_0.13.0.zip |
| macOS binaries: | r-release (arm64): torch_0.13.0.tgz, r-oldrel (arm64): torch_0.13.0.tgz, r-release (x86_64): torch_0.13.0.tgz, r-oldrel (x86_64): torch_0.13.0.tgz |
| Old sources: | torch archive |
| Reverse depends: | mlr3torch |
| Reverse imports: | BKTR, brulee, causalOT, circlus, cito, crumble, engression, geodl, glmnetr, innsight, lambdaTS, luz, madgrad, nFunNN, PLNmodels, proteus, RGAN, scDHA, SCFA, SEMdeep, sits, spinner, tabnet, topicmodels.etm, torchaudio, torchdatasets, torchopt, torchvision, torchvisionlib |
| Reverse linking to: | causalOT, torchvisionlib |
| Reverse suggests: | bundle, COTAN, GPUmatrix, nn2poly, safetensors, targets, vetiver |
Please use the canonical form https://CRAN.R-project.org/package=torch to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.