Provides a framework for the creation and use of Neural ordinary differential equations with the 'tensorflow' and 'keras' packages. The idea of Neural ordinary differential equations comes from Chen et al. (2018) <doi:10.48550/arXiv.1806.07366>, and presents a novel way of learning and solving differential systems.
| Version: | 0.1.0 |
| Imports: | tensorflow, keras, reticulate, deSolve |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2023-10-16 |
| Author: | Shayaan Emran [aut, cre, cph] |
| Maintainer: | Shayaan Emran <shayaan.emran at gmail.com> |
| BugReports: | https://github.com/semran9/tfNeuralODE/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/semran9/tfNeuralODE |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | tfNeuralODE results |
| Reference manual: | tfNeuralODE.pdf |
| Vignettes: |
tfNeuralODE-Adjoint tfNeuralODE-Spirals |
| Package source: | tfNeuralODE_0.1.0.tar.gz |
| Windows binaries: | r-devel: tfNeuralODE_0.1.0.zip, r-release: tfNeuralODE_0.1.0.zip, r-oldrel: tfNeuralODE_0.1.0.zip |
| macOS binaries: | r-release (arm64): tfNeuralODE_0.1.0.tgz, r-oldrel (arm64): tfNeuralODE_0.1.0.tgz, r-release (x86_64): tfNeuralODE_0.1.0.tgz, r-oldrel (x86_64): tfNeuralODE_0.1.0.tgz |
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