mlr3torch: Deep Learning with 'mlr3' (original) (raw)
Deep Learning library that extends the mlr3 framework by building upon the 'torch' package. It allows to conveniently build, train, and evaluate deep learning models without having to worry about low level details. Custom architectures can be created using the graph language defined in 'mlr3pipelines'.
Version:
0.2.1
Depends:
mlr3 (≥ 0.20.0), mlr3pipelines (≥ 0.6.0), torch (≥ 0.14.0), R (≥ 3.5.0)
Imports:
backports, checkmate (≥ 2.2.0), data.table, lgr, methods, mlr3misc (≥ 0.14.0), paradox (≥ 1.0.0), R6, withr
Suggests:
callr, curl, future, ggplot2, igraph, jsonlite, knitr, mlr3tuning (≥ 1.0.0), progress, rmarkdown, rpart, viridis, visNetwork, testthat (≥ 3.0.0), tfevents, torchvision (≥ 0.6.0), waldo
Published:
2025-02-13
DOI:
10.32614/CRAN.package.mlr3torch
Author:
Sebastian Fischer 
[cre, aut], Bernd Bischl [ctb], Lukas Burk [ctb], Martin Binder [aut], Florian Pfisterer [ctb], Carson Zhang [ctb]
Maintainer:
Sebastian Fischer <sebf.fischer at gmail.com>
BugReports:
https://github.com/mlr-org/mlr3torch/issues
License:
Copyright:
see file
URL:
https://mlr3torch.mlr-org.com/,https://github.com/mlr-org/mlr3torch/
NeedsCompilation:
no
Materials:
In views:
CRAN checks: