The 'fastai' <https://docs.fast.ai/index.html> library simplifies training fast and accurate neural networks using modern best practices. It is based on research in to deep learning best practices undertaken at 'fast.ai', including 'out of the box' support for vision, text, tabular, audio, time series, and collaborative filtering models.
Version: 2.2.2 Imports: reticulate, generics, png, ggplot2, ggpubr, glue Suggests: knitr, testthat, rmarkdown, curl, magrittr, data.table, vctrs, stats, utils, R.utils, viridis, zeallot Published: 2024-04-11 DOI: 10.32614/CRAN.package.fastai Author: Turgut Abdullayev [ctb, cre, cph, aut] Maintainer: Turgut Abdullayev <turqut.a.314 at gmail.com> BugReports: https://github.com/EagerAI/fastai/issues License: Apache License 2.0 URL: https://github.com/EagerAI/fastai NeedsCompilation: no Materials: README NEWS CRAN checks: fastai results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=fastai to link to this page.
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