The goal of rTorch.examples is to show practical examples developed
with the package
rTorch. The
vignettes included here were initially part of rTorch, but I moved
them to a sseparate package to speed up the proccess of building the
more challenging and newer rTorch.
The examples, and vignettes, are simple applications of PyTorch that I found in the web. Some of the examples are just straight forward scripts with few PyTorch calls and random generated datasets; other examples are more ellaborated and require the creation of classes, and access to relatively heavy datasets.
You can install the released version of rTorch.examples from GitHub with:
devtools::install_github("f0nzie/rTorch.examples")- Linear Algebra with Torch
- Simple Linear Regression
- Linear Regregression, rainfall
- Linear Regregression, rainfall. PyTorch builtins
- Two Layer Neural Network
- Logistic Regression, MNIST digits
- MNIST digits recognition, IDX format
- MNIST digits recognition, PNG images
- MNIST Fashion images. Inference and Validation
- GitHub repository of
rTorch: https://github.com/f0nzie/rTorch - Website for
rTorch: https://f0nzie.github.io/rTorch/ - Website for
rTorch.examples: https://f0nzie.github.io/rTorch.examples/ - Website for
PyTorch: https://pytorch.org/