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README.md
In tfNeuralODE: Create Neural Ordinary Differential Equations with 'tensorflow'
tfNeuralODE
The goal of tfNeuralODE is to provide an easy framework surrounding the
use of Neural Ordinary Differential Equations in R. This package does so
by building on top of R Tensorflow, to help wth auto-differentiation and
the construction of neural network models with Keras. Examples of this
package in use can be found on the project website.
Installation
You can install the development version of tfNeuralODE like so:
devtools::install_github("https://github.com/semran9/tfNeuralODE.git")
Try the tfNeuralODE package in your browser
Any scripts or data that you put into this service are public.
tfNeuralODE documentation built on Oct. 17, 2023, 1:10 a.m.
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tfNeuralODE
The goal of tfNeuralODE is to provide an easy framework surrounding the use of Neural Ordinary Differential Equations in R. This package does so by building on top of R Tensorflow, to help wth auto-differentiation and the construction of neural network models with Keras. Examples of this package in use can be found on the project website.
Installation
You can install the development version of tfNeuralODE like so:
devtools::install_github("https://github.com/semran9/tfNeuralODE.git")
Try the tfNeuralODE package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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