Package: tfNeuralODE 0.1.0

tfNeuralODE: Create Neural Ordinary Differential Equations with 'tensorflow'

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.

Authors:Shayaan Emran [aut, cre, cph]

tfNeuralODE_0.1.0.tar.gz
tfNeuralODE_0.1.0.zip(r-4.7-any)tfNeuralODE_0.1.0.zip(r-4.6-any)tfNeuralODE_0.1.0.zip(r-4.5-any)
tfNeuralODE_0.1.0.tgz(r-4.6-any)tfNeuralODE_0.1.0.tgz(r-4.5-any)
tfNeuralODE_0.1.0.tar.gz(r-4.7-any)tfNeuralODE_0.1.0.tar.gz(r-4.6-any)
tfNeuralODE_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tfNeuralODE/json (API)

# Install 'tfNeuralODE' in R:

install.packages('tfNeuralODE', repos = c('https://semran9.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/semran9/tfneuralode/issues

On CRAN:

4.00 score 1 stars 7 scripts 366 downloads 3 exports 34 dependencies

Last updated from:e749a71f97. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	151
source / vignettes	OK	181
linux-release	OK	153
macos-release	OK	189
macos-oldrel	OK	204
windows-devel	OK	178
windows-release	OK	163
windows-oldrel	OK	130
wasm-release	OK	106