The dimensionality reduction reconstruction network mainly deals with high-dimensional input data. In the inverse design, we combine the convolutional neural network (CNN) and long short-term memory ...

Abstract: Motivated by the cross-modal information processing mechanism of human brain, vertebrates, and invertebrates, we propose a multiple-input–multiple-output (MIMO) variational autoencoder (VAE) ...

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose of this project is not to produce as optimized and computationally efficient ...