hayden-donnelly / febam

PyTorch implementation of Feature Extracting Bidirectional Associative Memory (FEBAM).

FEBAM

PyTorch implementation of FEBAM from the paper "FEBAM: A Feature Extracting Bidirectional Associative Memory."

Docker Environment

Building image:

docker-compose build

Starting container/environment:

docker-compose up -d

Opening a shell in container:

docker-compose exec febam bash

Instead of opening a shell, you can also go to http://localhost:8888/ to access a Jupyter Lab instance running inside the container.

Stopping container/environment:

docker-compose down

Citation

@INPROCEEDINGS{chartier_giguere_renaud_lina_proulx,
    author={Chartier, Sylvain and Giguere, Gyslain and Renaud, Patrice and Lina, Jean-Marc and Proulx, Robert},
    booktitle={2007 International Joint Conference on Neural Networks}, 
    title={FEBAM: A Feature-Extracting Bidirectional Associative Memory}, 
    year={2007},
    pages={1679-1684},
    doi={10.1109/IJCNN.2007.4371210}
}