This project explores autoencoders, a class of neural networks used for unsupervised learning. Specifically, we focus on using autoencoders to remove noise from images and restore corrupted images. We ...
This project implements and evaluates various anomaly detection approaches for the DCASE 2023 Challenge Task 2. The goal is to detect anomalous sounds in industrial machinery using only normal sound ...
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