tabby: Tidy Interfaces for Tabular Deep Learning

Model definitions for fitting, tuning, and predicting with deep learning models for tabular data using the 'parsnip' and 'tidymodels' frameworks. Supported models include the 'TabPFN' foundation model of Hollmann et al. (2025) <doi:10.1038/s41586-024-08328-6>, 'TabICL' by Qu et al. (2025) <doi:10.48550/arXiv.2502.05564>, 'SAINT' by Somepalli et al. (2021) <doi:10.48550/arXiv.2106.01342>, and the tabular 'ResNet' of Gorishniy et al. (2021) <doi:10.48550/arXiv.2106.11959>, among others. Helper functions are also included to create space-filling grids for tuning parameters that are defined on a per-layer basis. These functions define the model interfaces; the computations are carried out by separate engine packages.

Version:	0.0.1
Depends:	parsnip (≥ 1.6.1), R (≥ 4.1.0)
Imports:	cli, dials (≥ 1.4.4), dplyr, generics, hardhat, purrr, rlang (≥ 1.1.0), tibble
Suggests:	brulee (≥ 1.2.0), modeldata, spelling, testthat (≥ 3.0.0), torch, withr
Published:	2026-10-15
DOI:	10.32614/CRAN.package.tabby (may not be active yet)
Author:	Max Kuhn [aut, cre], Edgar Ruiz [aut], Posit Software, PBC [cph, fnd]
Maintainer:	Max Kuhn <max at posit.co>
BugReports:	https://github.com/tidymodels/tabby/issues
License:	MIT + file LICENSE
URL:	https://github.com/tidymodels/tabby, https://tabby.tidymodels.org/
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	tabby results

Documentation:

Reference manual:

tabby.html , tabby.pdf

Downloads:

Package source:	tabby_0.0.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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