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CRAN requires the check problems on this package to be fixed before 2026-08-31 or it will be archived.

tfaddons

0.10.0

Interface to 'TensorFlow SIG Addons'

0packages depend
2.3Kdownloads / year
0.0%test coverage
0/13checks pass

Overview

About
Maintained by Turgut AbdullayevFirst published 2020-06-021 releasesCRAN page ↗GitHub ↗

'TensorFlow SIG Addons' https://www.tensorflow.org/addons is a repository of community contributions that conform to well-established API patterns, but implement new functionality not available in core 'TensorFlow'. 'TensorFlow' natively supports a large number of operators, layers, metrics, losses, optimizers, and more. However, in a fast moving field like Machine Learning, there are many interesting new developments that cannot be integrated into core 'TensorFlow' (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the community).

Install

Health

CRAN checks
13NOTE
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
  • NOTE r-devel-windows-x86_64
  • NOTE r-oldrel-macos-arm64
  • NOTE r-oldrel-macos-x86_64
  • NOTE r-oldrel-windows-x86_64
  • NOTE r-patched-linux-x86_64
  • NOTE r-release-linux-x86_64
  • NOTE r-release-macos-arm64
  • NOTE r-release-macos-x86_64
  • NOTE r-release-windows-x86_64
Slowest check: 6.6 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.08
0.0%
Coverage · measured lines
100%
Documentation · exports
5
Dependencies · direct
Check history
  • NOTE2026-06-09
    0 OK · 13 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    0 OK · 12 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 420 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
100%
Return-value docs
100%
References docs
1%

Downloads

2.3K
CRAN downloads in the past year
Rank #17,505 · ~6/day · ~193/mo
Daily download trend is not available in this view yet.
15230 days
61490 days
2.3K1 year
Compare downloads with other packages →
Also on97 r2u24 autocran

Repository

Repository
20Stars
0Forks
1Open issues
2Open PRs
0Releases
173Commits
1Contributors
kerastensorflowtensorflow-addonsrneural-networksdeep-learningtfa
License Apache-2.0 · 173 commits · Last activity 2023-09-19

Stars over time

2022-08-03 · 202026-07-07 · 20

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/henry090/tfaddons on 2026-08-16.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
Dockerfile
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.10.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2020-06-02
Total releases
1 / 6 yrs
License
Apache License 2.0 OSI
Download size
124 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tfaddons")
Abdullayev, T. (2020). tfaddons: Interface to 'TensorFlow SIG Addons' (Version 0.10.0) [Computer software]. https://doi.org/10.32614/CRAN.package.tfaddons

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tfaddons version 0.10.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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