Package: attention
Title: Self-Attention Algorithm
Version: 0.4.0
Authors@R: 
    person("Bastiaan", "Quast", , "bquast@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-2951-3577"))
Description: Self-Attention algorithm helper functions and
        demonstration vignettes of increasing depth on how to construct
        the Self-Attention algorithm, this is based on Vaswani et al.
        (2017) <doi:10.48550/arXiv.1706.03762>, Dan Jurafsky and James
        H. Martin (2022, ISBN:978-0131873216)
        <https://web.stanford.edu/~jurafsky/slp3/> "Speech and Language
        Processing (3rd ed.)" and Alex Graves (2020)
        <https://www.youtube.com/watch?v=AIiwuClvH6k> "Attention and
        Memory in Deep Learning".
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Repository: https://bquast.r-universe.dev
Date/Publication: 2023-11-10 00:24:24 UTC
RemoteUrl: https://github.com/bquast/attention
RemoteRef: HEAD
RemoteSha: 64e8f97e0f114c836481882a78ad1f695b09ebeb
NeedsCompilation: no
Packaged: 2026-10-16 07:38:22 UTC; root
Author: Bastiaan Quast [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-2951-3577>)
Maintainer: Bastiaan Quast <bquast@gmail.com>