Using a convolutional autoencoder, it extracts latent representations of SST patterns, clusters them, and visualizes their spatial distributions. sst-autoencoder/ ├── data/ # SST netCDF + extracted ...

This project implements a Variational Autoencoder (VAE) in PyTorch, trained on the MNIST dataset. It features a Gradio web app for generating new digits and reconstructing uploaded digit images.

ABNN consists of an autoencoder branch and a Bayesian network branch. The autoencoder branch projects high-dimensional mixed variables into a low-dimensional latent space, obtaining informative latent ...

Graph Convolutional Network,Graph Data,Graph Neural Networks,Graph Neural Networks Algorithms,Graph Processing,Graph Structure,Image Processing,Image Recognition,Industrial Inspection,Intersection ...

Due to a production error, there was an error regarding the affiliation for Somayeh Makouei. Instead of having affiliation 2, they should have affiliation 1 ...