PNAS

ProT-VAE: Protein Transformer Variational AutoEncoder for functional protein design

The sequence of amino acids within a protein dictates its structure and function. Protein engineering campaigns seek to discover protein sequences with desired functions. Data-driven models of the ...
IEEE

Research on Unsupervised Fault Diagnosis based on Sparse Autoencoder and Locally Linear Embedding

Abstract: In this paper, we address the shortcomings of traditional unsupervised fault diagnosis methods in handling high-dimensional, nonlinear, and highly complex fault diagnosis problems, and ...
GitHub

Project 1: Design of an Improved Model for Music Sequence Generation Using Conditional Variational Autoencoder and Conditional GAN

You can use any of our models with torch.hub.load. We provide 2 classes of models for each of our 3 submodels of the CVAE-WGAN architecture cvae-wgan submodels: - CVAE: Conditional Variational ...
IEEE

An Explainable AI Framework Integrating Variational Sparse Autoencoder and Random Forest for EEG-Based Epilepsy Detection

Abstract: Epilepsy is a medical condition characterized by sudden and frequent sensory disruptions which is commonly detected by electroencephalogram (EEG) analysis. However, analyzing these signals ...