torch

Tensors and Neural Networks with 'GPU' Acceleration

Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.

News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
install.packages("torch")

0.1.1 by Daniel Falbel, 4 days ago

https://torch.mlverse.org/docs, https://github.com/mlverse/torch

Report a bug at https://github.com/mlverse/torch/issues

Browse source code at https://github.com/cran/torch

Authors: Daniel Falbel [aut, cre, cph] , Javier Luraschi [aut, cph] , Dmitriy Selivanov [ctb] , Athos Damiani [ctb] , RStudio [cph]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Rcpp, R6, withr, rlang, methods, utils, stats, bit64, magrittr

Suggests testthat, covr, knitr, rmarkdown, glue, palmerpenguins

Linking to Rcpp

System requirements: C++11, LibTorch (https://pytorch.org/)

See at CRAN

R links

R homepage

Download R

Mailing lists

R documentation

R manuals

R FAQs

The R Journal

CRAN links

CRAN homepage

CRAN repository policy

Submit a package

METACRAN stuff

About METACRAN

At github

Report a bug