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 ...
A research-grade Python package for LFADS-style sequential autoencoder analysis of birdsong syntax and neural dynamics. This package provides comprehensive tools for data generation, model training, ...
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