Drexel AI sparsity paper: https://arxiv.org/pdf/2101.06518.pdf
Datasets for Binary Classification https://jamesmccaffrey.wordpress.com/2018/03/14/datasets-for-binary-classification/
- Install conda to your computer (once during first installation)
- Create an environment from environment.yml by
conda env create -f environment.yml
(only once during first installation) - Activate the environment (every time you start developing)
conda activate sparsity
- [OPTIONAL] If you need to install a new package, you can do
pip install package
. - Finally, do
conda deactivate
when you are done.
python main.py
User arguments can be passed such as:
python main.py -verbose=1 -batch_size=12
For a full list of arguments see, pipeline/argument_parser.py file.
If you end up using our work, please cite as below:
@article{alparslan2021evaluating,
title={Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures},
author={Alparslan, Yigit and Moyer, Ethan Jacob and Kim, Edward},
journal={arXiv preprint arXiv:2101.06518},
year={2021}
}