SAND is a feature selection algorithm for neural networks based on simple addition of a noise layer.
This project was built using Python 3.9.2
To download the datasets run sh sand/experiments/get_all_data.sh
To run the full experiments for SAND
, run python -m sand.experiments.experiment
Note: You can change the algorithm in the experiment
file to run the experiments for other methods
This repository is an edited clone of Sequential Attention. The original code has been modified to suit the specific needs of this project. All credit for the original code goes to the authors of the original repository.