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Citation
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Cite nnogada
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   * 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
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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).