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Jan 29, 2023 - Jupyter Notebook
Generative Adversarial Network
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.
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The experimental codes using Keras from the paper that was accepted to GECCO 2019.
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May 9, 2020 - Python
Using Generative Adversarial Networks to generate bird photos.
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Mar 26, 2023 - Jupyter Notebook
This repository contains a Convolutional GAN which generates faces based on the CelebFaces dataset.
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Nov 24, 2022 - Jupyter Notebook
PyTorch implementations of Generative Adversarial Networks.
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May 23, 2023 - Python
PyTorch implementation of Vanilla GAN architecture
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Apr 14, 2023 - Jupyter Notebook
The code for "Text-to-image synthesis with self-supervised bi-stage generative adversarial network"
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Jun 17, 2023 - Python
This is a repository that contains an implementation of Wassertein-GAN (Generative Adversarial Network) using the PyTorch framework for generating batik patterns.
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Jun 5, 2023 - Jupyter Notebook
Various implementations of GAN using Pytorch
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Jan 29, 2023 - Jupyter Notebook
[2022/23] A study of Generative Adversarial Networks, including experiments using anime faces dataset.
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Jul 28, 2023 - Python
Anime Face Generation using GANS and Label Smoothing.
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Jul 8, 2023 - Jupyter Notebook
GAN trained to produce hand gesture images.
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Aug 10, 2023 - Python
Implementation of Generative Adversarial Networks paper plus training on tiny problems.
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Dec 22, 2022 - Python
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Dec 18, 2023 - Jupyter Notebook
Unofficial Implementation of Stacked Conditional Generative Adversarial Networks (ST-CGAN) for Jointly Learning Shadow Detection and Shadow Removal in PyTorch
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Nov 8, 2020 - Python
Basic implementation of Generative Adversarial Neural Network and its types
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Jul 28, 2023 - Jupyter Notebook
The goal is to create new faces of anime characters using a Deep Convolutional Generative Adversarial Network (DCGAN).
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Jan 8, 2023 - Jupyter Notebook
Using VAEs and GANs to understand how to generate images, over the CelebA dataset
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Jun 7, 2023 - Jupyter Notebook
Study and Try Cycle GAN (GAN Loss, Cycle-consistancy Loss, Identity Loss) with sunflower2daisy dataset
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Jun 18, 2023 - Jupyter Notebook
GAN and VAE on MNIST and Face
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Aug 15, 2023 - Jupyter Notebook
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