robbytorch 0.1.4

Cool package for robust AI

Installation

Robbytorch requires Pytorch, however it's not specified in the dependencies - we recommend installing Pytorch manually via conda and only later installing Robbytorch by pip. Pytorch has to be in version 1.6 or higher.

Use your conda env or create a new one:

conda create --name <ENV NAME> python=3.8 pip
conda activate <ENV NAME>

Install Pytorch. If you have older drivers for GPU you may require older version of CUDA, i.e.:

conda install pytorch torchvision torchaudio cudatoolkit=10.1 -c pytorch -c conda-forge

or even older Pytorch version:

conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=10.1 -c pytorch

Then run:

pip install robbytorch

Usage

The basics of the Robbytorch library are explained in the self-contained ipython/RobbyTutorial.ipynb standalone juputer notebook.

TODO - further eplanations:

• trenowanie: 3x forward
• Writers objaśnić, livelossplot, mlflow, save
• Robust training i robust evaluation
• Explain target / regression