Deep Learning with 'mlr3' R package mlr3torch version 0.3.3 CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning) 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'. Software Depends: mlr3 (>= 1.0.1), mlr3pipelines (>= 0.6.0), torch (>= 0.16.2), R (>= 3.5.0) Imports: backports, cli, 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), tibble, tfevents, torchvision (>= 0.6.0), waldo Sebastian Fischer <sebf.fischer@gmail.com> Comprehensive R Archive Network (CRAN) Sebastian Fischer [cre, aut] (ORCID: <https://orcid.org/0000-0002-9609-3197>), Bernd Bischl [ctb] (ORCID: <https://orcid.org/0000-0001-6002-6980>), Lukas Burk [ctb] (ORCID: <https://orcid.org/0000-0001-7528-3795>), Martin Binder [aut], Florian Pfisterer [ctb] (ORCID: <https://orcid.org/0000-0001-8867-762X>), Carson Zhang [ctb] LGPL (>= 3) 2026-01-31 application/tgz https://CRAN.R-project.org/package=mlr3torch doi:10.32614/CRAN.package.mlr3torch