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 results |
| Reference manual: | luz.pdf |
| Vignettes: |
Accelerator API Custom loops with luz Get started with luz |
| Package source: | luz_0.4.0.tar.gz |
| Windows binaries: | r-devel: luz_0.4.0.zip, r-release: luz_0.4.0.zip, r-oldrel: luz_0.4.0.zip |
| macOS binaries: | r-release (arm64): luz_0.4.0.tgz, r-oldrel (arm64): luz_0.4.0.tgz, r-release (x86_64): luz_0.4.0.tgz, r-oldrel (x86_64): luz_0.4.0.tgz |
| Old sources: | luz archive |
| Reverse imports: | deepregression, geodl |
| Reverse suggests: | bundle, innsight, nn2poly, sits, vetiver |
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