Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"
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Updated
Jul 3, 2018 - Python
Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"
CycleGAN with PyTorch
Theory and PyTorch implementations of Generative Adversarial Networks.
Gans Specialization course by deeplearning.ai: solved assignments and labs
This repo implements a simple GAN with fc layers and trains it on MNIST
Collection of generative models in Pytorch version.
Simple generative adversarial network implementation using pytorch on MNIST dataset.
A scratch GAN to generate images of mixed world coins using PyTorch
Applying Dual averaging method to Saddle point problem in GAN
General Adversarial Networks
Basic code for Generative Adversarial Networks (GANs) in PyTorch
A collection of small-scale projects that helped me learn the basics of the PyTorch framework
GAN implementation of some datasets like CIFAR10, MNIST etc
A Generative Adversarial Network implementation that generates Sharingans
Basic neural nets, explained and implemented
🌱CNN, GAN, RNN, DQN, Autoencoder, ResNet, Seq2Seq, Adversarial Attack IN PYTORCH
An Android App where the user can generate a grid of sticker image, and the user can also save that image for further uses. In the backend gan model is used to generate new Images and by using rest API those images bring to android app.
Fashion images Generator AI using Pytorch
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