Nothing
torch: Tensors and Neural Networks with 'GPU' Acceleration
Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Getting started
Browse package contents
Package details |
|
|---|---|
| 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], RStudio [cph] |
| Maintainer | Daniel Falbel <daniel@rstudio.com> |
| License | MIT + file LICENSE |
| Version | 0.11.0 |
| URL | https://torch.mlverse.org/docs https://github.com/mlverse/torch |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the torch package in your browser
Any scripts or data that you put into this service are public.
