Deep generative binary transformation presents an innovative approach to robust representation learning. By leveraging the power of binary transformations, we aim to generate meaningful representations that are resilient to noise and adversarial attacks. Our method employs a deep neural network architecture that learns a latent space where data poi

DGBT4R emerges as a powerful framework for manipulating data in cutting-edge ways. It leverages state-of-the-art algorithms to construct realistic and relevant datasets, enabling researchers and developers to explore complex phenomena and solve real-world challenges. The framework's versatility allows it to be applied in a wide range of areas, incl