Citation

Cite nnogada

  • Gómez-Vargas, I., Andrade, J. B., & Vázquez, J. A. (2023). Neural networks optimized by genetic algorithms in cosmology. Physical Review D, 107(4), 043509.

Cite external codes

We have curated popular and widely-used machine learning Python libraries developed by other researchers and integrated them into our nnogada library. Specifically, we utilize the following libraries, and if deemed relevant, we kindly request to cite them for proper attribution.

  • DEAP library:
    • Fortin, F. A., De Rainville, F. M., Gardner, M. A. G., Parizeau, M., & Gagné, C. (2012). DEAP: Evolutionary algorithms made easy. The Journal of Machine Learning Research, 13(1), 2171-2175.
  • Tensorflow:
    • Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., … & Zheng, X. (2016, November). Tensorflow: a system for large-scale machine learning. In Osdi (Vol. 16, No. 2016, pp. 265-283).
  • Torch:
    • Collobert, R., Bengio, S., & Mariéthoz, J. (2002). Torch: a modular machine learning software library (No. REP_WORK). Idiap.
  • Torchvision:
    • Marcel, S., & Rodriguez, Y. (2010, October). Torchvision the machine-vision package of torch. In Proceedings of the 18th ACM international conference on Multimedia (pp. 1485-1488).