Autoencoders are a type of deep neural network and are widely used for unsupervised learning, particularly in tasks that require feature extraction and dimensionality reduction. While most research ...

De-novo-molecules-design-based-on-molecular-properties This project implements a Conditional Variational Autoencoder (CVAE) for generating novel molecules (represented as SELFIES sequences) ...

Late-time transient electromagnetic (TEM) data contain deep subsurface information and are important for resolving deeper electrical structures. However, due to their relatively small signal ...

Este projeto implementa um Autoencoder Denoising utilizando a biblioteca Keras para remover ruído de imagens de dígitos manuscritos. O modelo é treinado no dataset MNIST, onde imagens originais são ...

In this paper, we introduce a new method to analyse HIV using a combination of autoencoder networks and genetic algorithms. The proposed method is tested on a set of demographic properties of ...