This repository implements five types of autoencoders: Fully Connected Autoencoder (FC-AE), Convolutional Autoencoder (CNN-AE), Sparse Autoencoder (Sparse-AE), Recurrent Autoencoder (RNN-AE), and ...

Process parameters and chemical composition are the conditional parameters for the cGAN. Addtional models are a CNN classifier for microstructure classification and a variational autoencoder (VAE).