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torchvision: Models, Datasets and Transformations for Images

Provides access to datasets, models and preprocessing facilities for deep learning with images. Integrates seamlessly with the 'torch' package and it's 'API' borrows heavily from 'PyTorch' vision package.

Version: 0.6.0
Imports: torch (≥ 0.5.0), fs, rlang, rappdirs, utils, jpeg, magrittr, png, abind, withr
Suggests: magick, testthat, coro
Published: 2024-06-14
DOI: 10.32614/CRAN.package.torchvision
Author: Daniel Falbel [aut, cre], Christophe Regouby [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel at rstudio.com>
BugReports: https://github.com/mlverse/torchvision/issues
License: MIT + file LICENSE
URL: https://torchvision.mlverse.org, https://github.com/mlverse/torchvision
NeedsCompilation: no
Materials: README NEWS
CRAN checks: torchvision results

Documentation:

Reference manual: torchvision.pdf

Downloads:

Package source: torchvision_0.6.0.tar.gz
Windows binaries: r-devel: torchvision_0.6.0.zip, r-release: torchvision_0.6.0.zip, r-oldrel: torchvision_0.6.0.zip
macOS binaries: r-release (arm64): torchvision_0.6.0.tgz, r-oldrel (arm64): torchvision_0.6.0.tgz, r-release (x86_64): torchvision_0.6.0.tgz, r-oldrel (x86_64): torchvision_0.6.0.tgz
Old sources: torchvision archive

Reverse dependencies:

Reverse imports: cito, deepregression, geodl, torchdatasets
Reverse suggests: bundle, luz, mlr3torch

Linking:

Please use the canonical form https://CRAN.R-project.org/package=torchvision to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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