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-# Referencias Bibliográficas
-
-## Referencias
+# Referencias bibliográficas {.unnumbered}

 Akiba, T., Sano, S., Yanase, T., Ohta, T., & Koyama, M. (2019). Optuna: A next-generation hyperparameter optimization framework. *Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining*, 2623-2631. https://doi.org/10.1145/3292500.3330701

@@ -50,18 +48,3 @@ Zhou, X., Yao, C., Wen, H., Wang, Y., Zhou, S., He, W., & Liang, J. (2017). EAST

 Zoph, B., & Le, Q. V. (2017). Neural architecture search with reinforcement learning. *International Conference on Learning Representations (ICLR)*. https://arxiv.org/abs/1611.01578

---
-
-## Herramientas y Bibliotecas Utilizadas
-
- **PaddleOCR**: https://github.com/PaddlePaddle/PaddleOCR
- **Ray Tune**: https://docs.ray.io/en/latest/tune/index.html
- **Optuna**: https://optuna.org/
- **PyMuPDF**: https://pymupdf.readthedocs.io/
- **jiwer**: https://github.com/jitsi/jiwer
-
---
-
-## Repositorio del Proyecto
-
- **GitHub**: https://seryus.ddns.net/unir/MastersThesis