rTorch.examples

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.

Installation

You can install the released version of rTorch.examples from GitHub with:

devtools::install_github("f0nzie/rTorch.examples")

Examples included

• 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

References

• 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/