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>).
| Version: | 0.2.0 |
| Imports: | attention (≥ 0.4.0) |
| Suggests: | covr, testthat (≥ 3.0.0) |
| Published: | 2023-11-10 |
| DOI: | 10.32614/CRAN.package.transformer |
| Author: | Bastiaan Quast 
[aut, cre] |
| Maintainer: | Bastiaan Quast <bquast at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | transformer results |
Documentation:
| Reference manual: | transformer.pdf |
Downloads:
| Package source: | transformer_0.2.0.tar.gz |
| Windows binaries: | r-devel: transformer_0.2.0.zip, r-release: transformer_0.2.0.zip, r-oldrel: transformer_0.2.0.zip |
| macOS binaries: | r-release (arm64): transformer_0.2.0.tgz, r-oldrel (arm64): transformer_0.2.0.tgz, r-release (x86_64): transformer_0.2.0.tgz, r-oldrel (x86_64): transformer_0.2.0.tgz |
| Old sources: | transformer archive |
Linking:
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