DCGAN architecture to generate faces from CelebA dataset, made with ❤️ in PyTorch. Do 🌟 the repo if you find it useful.
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Updated
May 29, 2020 - HTML
Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.
DCGAN architecture to generate faces from CelebA dataset, made with ❤️ in PyTorch. Do 🌟 the repo if you find it useful.
SE-MelGAN - Speaker Agnostic Rapid Speech Enhancement
Generate Face Images using Generative Adversarial Networks (GAN) - Pytorch
Build a Deep Convolutional Generative Adversarial Networks (DCGANs) to generate new images of faces.
Projects for Udacity Deep Learning Nanodegree Program: CNN, RNN, GANs
Released June 10, 2014