A TensorFlow implementation of a variational autoencoder-generative adversarial network (VAE-GAN) architecture for speech-to-speech style transfer, originally proposed by AlBadawy, et al. (2020) an… ...

Abstract: With a spurt of progress in deep learning techniques, convolutional neural network-based and transformer-based methods have yielded impressive performance on the hyperspectral image (HSI) ...

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.

Abstract: Utilizing electrocardiogram (ECG) to assess patients' cardiac health is currently the popular diagnostic method. This approach demonstrates high accuracy and helps alleviate the workload of ...