v0.1

Code for HRTF Individualization using Deep Learning, Miccini and Spagnol, 2020.
The cells within the notebooks contain precomputed output related to the latest execution. However, each notebook has hyperparameters that can be adjusted. Unfortunately, most notebooks are not entirely polished, presenting unused code, duplicated sections, and various data, reflecting the exploratory and experimental nature of the research.