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) .


Reference manual

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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