Higher Level 'API' for 'torch'

A high level interface for 'torch' providing utilities to reduce the the amount of code needed for common tasks, abstract away torch details and make the same code work on both the 'CPU' and 'GPU'. It's flexible enough to support expressing a large range of models. It's heavily inspired by 'fastai' by Howard et al. (2020) , 'Keras' by Chollet et al. (2015) and 'Pytorch Lightning' by Falcon et al. (2019) .


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install.packages("luz")

0.1.0 by Daniel Falbel, 2 months ago


https://mlverse.github.io/luz/, https://github.com/mlverse/luz


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


Authors: Daniel Falbel [aut, cre, cph] , RStudio [cph]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports torch, magrittr, zeallot, rlang, coro, glue, progress, R6, generics, purrr, ellipsis, fs, prettyunits, cli

Suggests knitr, rmarkdown, testthat, covr, Metrics, withr, vdiffr, ggplot2, dplyr


See at CRAN