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A PyTorch implementation of the Wasserstein GAN (WGAN) algorithm for generative adversarial networks.
This repository provides resources and implementations of Generative Adversarial Nets, a powerful machine learning technique.
Python library for optimal transport and related problems, useful for machine learning tasks.
A benchmark for evaluating different implementations of Variational Autoencoders (VAEs) in PyTorch.
A PyTorch implementation of the Improved Training of Wasserstein GANs paper
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