Easily generate simple continual learning benchmarks. Inspired by dSprites.
Install the package from PyPI:
python -m pip install idsprites
Verify the installation:
python -c "import idsprites"
See the examples directory for notebooks demonstrating how to use the package.
Clone the repo:
git clone git@github.com:sbdzdz/idsprites.git
cd idsprites
It's a good idea to install the package in interactive mode inside a virtual environment:
python -m virtualenv venv
source venv/bin/activate
python -m pip install -r requirements.txt
python -m pip install -e .
If you use this work in your research, please consider citing:
@article{dziadzio2023disentangled,
title={Disentangled Continual Learning: Separating Memory Edits from Model Updates},
author={Dziadzio, Sebastian and Y{\i}ld{\i}z, {\c{C}}a{\u{g}}atay and van de Ven, Gido M and Trzci{\'n}ski, Tomasz and Tuytelaars, Tinne and Bethge, Matthias},
journal={arXiv preprint arXiv:2312.16731},
year={2023}
}
Thanks!