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Project Name: Improved FireFly Algorithm
Description: This project represents the implementation of the training-free model evaluation based on the Intra-Cluster Distance, and the improved firefly algorithm (IFA) used in the paper "Improving Neural Architecture Search by Mixing a FireFly algorithm with a Training Free Evaluation" published in the "International Joint Conference on Neural Networks (IJCNN) 2022".
Author: Nassim Mokhtari, Alexis Nédélec, Marlène Gilles and Pierre De Loor.
Project URL: https://ieeexplore.ieee.org/xpl/conhome/9891857/proceeding
This project uses the following third-party libraries:
- nasbench, https://github.com/google-research/nasbench, Apache Licence, Version 2.0.
- nas-bench-201, https://github.com/D-X-Y/NAS-Bench-201, MIT Licence.
- xautodl, https://github.com/D-X-Y/AutoDL-Projects, MIT Licence.
- nasbench_keras, https://github.com/lienching/nasbench_keras, MIT Licence.
This project is licensed under the Apache License, Version 2.0. See the LICENSE file for more information about the terms of the license.