Package: transformer 0.2.0

transformer: Implementation of Transformer Deep Neural Network with Vignettes

Transformer is a Deep Neural Network Architecture based i.a. on the Attention mechanism (Vaswani et al. (2017) <doi:10.48550/arXiv.1706.03762>).

Authors:Bastiaan Quast [aut, cre]

transformer_0.2.0.tar.gz
transformer_0.2.0.zip(r-4.7-any)transformer_0.2.0.zip(r-4.6-any)transformer_0.2.0.zip(r-4.5-any)
transformer_0.2.0.tgz(r-4.6-any)transformer_0.2.0.tgz(r-4.5-any)
transformer_0.2.0.tar.gz(r-4.7-any)transformer_0.2.0.tar.gz(r-4.6-any)
transformer_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
transformer/json (API)

# Install 'transformer' in R:
install.packages('transformer', repos = c('https://bquast.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bquast/transformer/issues

On CRAN:

Conda:

4.96 score 1 stars 2 packages 304 scripts 255 downloads 5 exports 1 dependencies

Last updated from:5da363dfa2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK162
source / vignettesOK183
linux-releaseOK126
macos-releaseOK103
macos-oldrelOK84
windows-develOK81
windows-releaseOK66
windows-oldrelOK70
wasm-releaseOK103

Exports:attentionrow_meansrow_varsSoftMaxtransformer

Dependencies:attention