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) <doi:10.48550/arXiv.2002.04688>, 'Keras' by Chollet et al. (2015) and 'PyTorch Lightning' by Falcon et al. (2019) <doi:10.5281/zenodo.3828935>.
Version: 0.4.0 Imports: torch (≥ 0.9.0), magrittr, zeallot, rlang (≥ 1.0.0), coro, glue, progress, R6, generics, purrr, ellipsis, fs, prettyunits, cli Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), covr, Metrics, withr, vdiffr, ggplot2 (≥ 3.0.0), dplyr, torchvision, tfevents (≥ 0.0.2), tidyr Published: 2023-04-17 DOI: 10.32614/CRAN.package.luz Author: Daniel Falbel [aut, cre, cph], RStudio [cph] Maintainer: Daniel Falbel <daniel at rstudio.com> License: MIT + file LICENSE URL: https://mlverse.github.io/luz/, https://github.com/mlverse/luz NeedsCompilation: no Materials: README NEWS CRAN checks: luz resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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