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wgan-gp

Here are 153 public repositories matching this topic...

talcron / frame-prediction-pytorch

PyTorch implementation of WGAN-GP-based video generation. Includes functionality for measuring Frechet Video Distance and implementing recent research improvements of WGAN-GP. Read paper at https://github.com/talcron/frame-prediction-pytorch/blob/media/paper.pdf

gan wgan wasserstein-gan wgan-gp video-generation ivgan frechet-inception-distance

Updated Apr 14, 2021
Python

leejaeka / incrementum

UofTHacksVIII - Finance Productivity WebApplication + Generative Deep Learning (WGAN-GP) Tree Generator - Best use of Google Cloud Award

react javascript flask finance sqlite pytorch webapplication wgan-gp

Updated Mar 3, 2021
JavaScript

parikshitkumar1 / Image-Generation-using-Generative-Networks

A web-app based on Wasserstein Generative Adversarial Network architecture with GP that generates multiple realistic paintings, trained on 8k Albrecht Dürer's paintings, includes super-res mode.

heroku pil pytorch generative-adversarial-network gan dcgan wgan-gp pytorch-gan dcgan-pytorch streamlit-webapp

Updated Jul 25, 2021
Python

ahmedmbutt / Generative-Deep-Learning-with-TensorFlow

Labs for Generative Deep Learning with TensorFlow by DeepLearning.AI on Coursera

deep-learning tensorflow coursera generative-adversarial-network autoencoder variational-autoencoder wgan-gp dragan neural-style-transfer generative-deep-learning

Updated Feb 24, 2024
Jupyter Notebook

egyptdj / GANs

TensorFlow Generative Adversarial Networks (GANs)

tensorflow generative-adversarial-network gan dcgan gans generative-adversarial-networks wgan lsgan cgan wgan-gp vanilla-gan mode-seek geogan

Updated Jul 24, 2019
Python

TiagoCortinhal / ADASR

Master's Final Project: Adversarial Domain Adaptation Super Resolution

computer-vision pytorch gan super-resolution wgan adda domain-adaptation wgan-gp sr dann wgangp

Updated Sep 19, 2019
Python

GdoongMathew / Denoising_Dirty_Documents

unet wgan-gp denoise-images tensorflow2

Updated Apr 30, 2021
Python

s-chh / PyTorch-GAN-Variants

PyTorch implementations of Generative Adversarial Networks (GAN) variants

pytorch generative-adversarial-network gan dcgan wgan lsgan cyclegan cgan wgan-gp stargan conditionalgan

Updated Nov 17, 2022

rajoy99 / osman

osman: OverSampling by Deep Generative Models A pip package which oversamples class imbalance binary data by Deep Generative Models.

deep-learning gan generative-model oversampling variational-autoencoder wgan-gp

Updated Feb 1, 2023
Jupyter Notebook

MrCosta57 / food_gan

An implementation of one personal project to gain experience with Generative Adversarial Network models and in particular on Wasserstrein GAN with gradient penalty. The final application's purpose is to generate synthetic images given a food category.

food pytorch generative-adversarial-network gan generative-model wgan-gp food101 pytorch-lightning generative-ai

Updated Dec 15, 2023
Jupyter Notebook

MontiSebastiano / NNDL

Final group project of "Neural Networks and Deep Learning" course at University of Padova

pytorch generative-adversarial-network gan music-generation wgan-gp

Updated Oct 19, 2023
Jupyter Notebook

renan-siqueira / my-own-WGAN-GP-implementation

My own GAN implementation (WGAN-GP with Pytorch)

python training image-processing pytorch gan gpu-acceleration image-generation image-generator video-generator wgan wgan-gp video-generation video-interpolation

Updated Dec 6, 2023
Python

RomainGratier / Black-box_Optimization_via_Deep_Generative-Exploratory_Networks

Deep neural networks have garnered tremendous excitement in recent years thanks to their superior learning capacity in the presence of abundant data resources. However, collecting an exhaustive dataset covering all possible scenarios is often slow, expensive, and even impractical. The goal of this project is to devise a new learning framework th…

bayesian-inference gans wgan-gp data-driven-model out-of-distribution

Updated Feb 16, 2023
Python

gau-nernst / gan

Learning GANs: WGAN, Relativistic GAN, StyleGAN, pix2pix...

pytorch gan wgan wgan-gp stylegan stylegan2 sa-gan

Updated Mar 11, 2024
Python

Henry711 / wgan-gp-tensorflow

WGAN-0-GP for making MNIST images

tensorflow gans wgan-gp

Updated Aug 23, 2020
Jupyter Notebook

Thehunk1206 / GAN.art

A Style Based Generative model for generating art

art generative-art deeplearning minimax gans residual-networks wgan-gp tensorflow2 stylegan

Updated Jun 22, 2021
Python

ANI717 / Anime_Face_Generation_with_GANs

Random Anime Face Generation with Generative Adversarial Networks. DCGAN and WGAN-GP are used.

python deep-neural-networks computer-vision anime pytorch generative-adversarial-network dcgan deeplearning convolutional-neural-networks gans wgan-gp dcgan-pytorch convnets wgan-gp-pytorch

Updated Sep 20, 2021
Python

YanSte / WGAN-GP-GM-QuickDraw-Image-Generation

This project is an exploration of Generative Models (GM) and its capabilities, focusing on the generation of bicycle images using Wasserstein Generative Adversarial Networks (WGAN-GP) in conjunction with estimators and generators.

python tensorflow gan wgan-gp generative-models

Updated Sep 30, 2023
Jupyter Notebook

LuChang-CS / WGAN-GP-PyTorch

A PyTorch implementation of WGAN-GP using Python 3

python3 pytorch generative-adversarial-network gan mnist cifar10 wgan-gp

Updated Nov 15, 2021
Python

RichardKlem / KNN_image_inpainting

Image inpainting

deep-learning cnn nvidia generative-adversarial-network gan fit convolutional-neural-networks knn wgan vutbr wgan-gp vut-fit fitvut generative-image-inpainting

Updated Oct 27, 2022
Python

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