torch: Tensors and Neural Networks with 'GPU' Acceleration (original) (raw)
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:
Suggests:
testthat (≥ 3.0.0), covr, knitr (≥ 1.36), rmarkdown, palmerpenguins, mvtnorm, numDeriv, katex
Published:
2024-05-21
DOI:
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
BugReports:
https://github.com/mlverse/torch/issues
License:
MIT + file
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:
In views:
CRAN checks: