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mlr3torch  

Deep Learning with 'mlr3'
View on CRAN: Click here


Download and install mlr3torch package within the R console
Install from CRAN:
install.packages("mlr3torch")

Install from Github:
library("remotes")
install_github("cran/mlr3torch")

Install by package version:
library("remotes")
install_version("mlr3torch", "0.1.2")



Attach the package and use:
library("mlr3torch")
Maintained by
Sebastian Fischer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-07-08
Latest Update: 2024-07-08
Description:
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'.
How to cite:
Sebastian Fischer (2024). mlr3torch: Deep Learning with 'mlr3'. R package version 0.1.2, https://cran.r-project.org/web/packages/mlr3torch. Accessed 29 Jan. 2025.
Previous versions and publish date:
0.1.0 (2024-07-08 07:40), 0.1.1 (2024-09-12 16:30)
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Complete documentation for mlr3torch
Functions, R codes and Examples using the mlr3torch R package
Full mlr3torch package functions and examples
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