A Variational Autoencoder (VAE) is a generative model that combines principles from deep learning and probabilistic modeling. This project trains a VAE to generate Fashion MNIST images and visualize ...

Poetry VAE: A Variational Autoencoder for Diverse Poetry Generation A deep learning implementation of a Variational Autoencoder (VAE) for generating diverse and creative poetry using PyTorch. This ...

Summary <p>Vector quantized variational autoencoder (VQ&#x2010;VAE) represents a nexus point in deep learning's journey, elegantly merging the worlds of autoencoders and vector quantization to pioneer ...

In this article, we propose a novel conditional generative flow-induced variational autoencoder (CGlow-VAE) model to address the critical challenge of the small sample issue in plasma instances. This ...