Higher-Level Interface of 'torch' Package to Auto-Train Neural Networks R package kindling version 0.3.2 Provides a higher-level interface to the 'torch' package for defining, training, and fine-tuning neural networks through code generation. The package supports several architectures, including feedforward (multi-layer perceptron) and recurrent neural networks (RNN, LSTM, GRU), while reducing boilerplate 'torch' code. Model training methods also bridge to machine learning frameworks in R, particularly the 'tidymodels' ecosystem, including 'parsnip' model specifications, workflows, recipes, and tuning tools. Software Depends: R (>= 4.1.0) Imports: purrr, torch, rlang, cli, glue, vctrs, parsnip (>= 1.0.0), tibble, tidyr, dplyr, stats, NeuralNetTools, ggplot2, tune, dials, hardhat, lifecycle, coro Suggests: testthat (>= 3.0.0), magrittr, box, vip, recipes, workflows, rsample, yardstick, mlbench, modeldata, knitr, rmarkdown, DiceDesign, lhs, sfd, covr, fansi Joshua Marie <joshua.marie.k@gmail.com> Comprehensive R Archive Network (CRAN) Joshua Marie [aut, cre], Antoine Soetewey [aut] (ORCID: <https://orcid.org/0000-0001-8159-0804>) MIT + file LICENSE (https://CRAN.R-project.org/package=kindling/LICENSE) 2026-07-10 application/tgz https://CRAN.R-project.org/package=kindling doi:10.32614/CRAN.package.kindling