An autoencoder is a type of unsupervised neural network that learns to represent input data in a compressed latent space. This compressed representation captures the essential features of the data ...

This code is the implementation of a project that I have worked on for the Barton Research Group. In this project we studied how Transformer Blocks that are set operators are particularly well suited ...