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:
transformer_0.2.0.tar.gz
transformer_0.2.0.zip(r-4.7)transformer_0.2.0.zip(r-4.6)transformer_0.2.0.zip(r-4.5)
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✨
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
Last updated from:5da363dfa2. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 245 | ||
| source / vignettes | OK | 156 | ||
| linux-release-x86_64 | OK | 100 | ||
| macos-release-arm64 | OK | 206 | ||
| macos-oldrel-arm64 | OK | 81 | ||
| windows-devel | OK | 62 | ||
| windows-release | OK | 107 | ||
| windows-oldrel | OK | 61 | ||
| wasm-release | OK | 99 |
Exports:attentionrow_meansrow_varsSoftMaxtransformer
Dependencies:attention
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Feed Forward Layer | feed_forward |
| Layer Normalization | layer_norm |
| Multi-Headed Attention | multi_head |
| Row Means | row_means |
| Row Variances | row_vars |
| Transformer | transformer |
