Cool package for robust AI
Project description
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
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