Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Shayaan Emran [aut, cre, cph] |
| Maintainer | Shayaan Emran <shayaan.emran@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://github.com/semran9/tfNeuralODE |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the tfNeuralODE package in your browser
Any scripts or data that you put into this service are public.
