dcgan-pytorch
There are 88 repositories under dcgan-pytorch topic.
Raman-Lab-UCLA/Multiclass_Metasurface_InverseDesign
Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/adom.202100548
AgaMiko/pixel_character_generator
Generating retro pixel game characters with Generative Adversarial Networks. Dataset "TinyHero" included.
rohitkuk/AnimeGAN
Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
DashankaNadeeshanDeSilva/Surface_defect_image_generation_with_DCGAN
DCGAN model to generate metal surface defect images
Gigi-G/Anime-Face-Generation
The objective of this project is to use the following Kaggle dataset (https://www.kaggle.com/datasets/soumikrakshit/anime-faces), in order to generate anime faces using a Deep Convolutional Generative Adversarial Network (DCGAN).
ysbsb/dcgan-pytorch-cifar10
Simple implement of DCGAN on CIFAR10 with one code
Abhradipta/Generation-Of-Synthetic-Images-With-DCGANs-In-Keras-From-Fashion-MNIST-Dataset
Generation Of Synthetic Images From Fashion MNIST Dataset With DCGANs In Keras.
MrAnayDongre/Machine-Learning-Collection
Repo for Implementing Research Papers & Projects related to Machine Learning
bkhanal-11/generative-deep-learning
Road towards diffusion models.
Moeinh77/Simpson-face-generator-DCGAN-pytorch
Generating simpson faces using Deep Convolutional Generative Adversarial Networks, written in PyTorch.
smlra-kjsce/Introduction-to-VAEs-and-GANs
Repository of all notebooks used in the GANs and VAEs event.
JayYik/GAN_implementations
Implementations of GANs
andreamagnante/LegoMinifigure-GANs
Generate Lego Minifigures & Faces implementing four different type of GANs in Pytorch
jibinmathew69/PyTorch1.x-Tutorial
This is repository teaching PyTorch1.0.
jashrathod/Deepfake-Face-Generation
Fake Face Generation using DCGANs
lunayht/Pytorch-DCGAN-with-SN
Deep Convolutional Generative Adversarial Networks with Spectral Normalization
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.
Vrushank264/GANs-PyTorch
PyTorch implementation of various GAN architectures.
yakhyo/dcgan-pytorch
DCGAN implementation using PyTorch
billy-enrizky/DCGAN-Face-Generator
Presenting a Deep Convolutional Generative Adversarial Network (DCGAN) for generating anime faces. The process involves training a discriminator and generator neural network on a dataset comprising 21,551 manually resized anime faces (64x64 pixels). The generator is capable of producing realistic anime faces after being trained for 50 epochs.
ches-001/Deep-Convolutional-Generative-Adversarial-Networks
Deep Convolutional Generative Adversarial Networks
HocRiser01/DCGAN
Generate anime avatar with DCGAN
Jason-CKY/pokeGAN_fusion
Deep Convolutional GANs to generate new Pokemon
junhoseo0/improved-dcgan
PyTorch Implementation of Improved Techniques for Traning Gans
Kunal-Attri/Captcha-Generator
Captcha Generator Using DCGAN
Miaad2004/Generating-Flowers-with-DCGANs-in-Pytorch
Generating images of flowers using deep convolutional generative adversarial networks (DCGANs) in the Pytorch framework.
Omanshu209/Generative-AI
Generative Adversarial Networks (Vanilla GAN, DCGAN)
OmarAzizi/DCGAN-Implementation
Deep Convolutional Generative Adversarial Network (DCGAN) implementation using PyTorch trained on the MNIST dataset to generate images of handwritten digits
parikshitkumar1/Generative_Modeling
Generative Modeling using GANs, DCGANs, WGAN, WGAN-GP, ProGAN, Conditional GANs and Controllable Generation.
RevanthPosina/Fake-Face-Generator-Using-DCGAN-Model
To generate fake faces as accurate as possible with simplified CelebA data set using Discriminator Network
therealcyberlord/dcgan-abstract-art
Using DCGAN to generate images of abstract art, with the option to upscale with ESRGAN.
zakariamejdoul/convolutional_generative_adversarial_network
In this project, we will implement Deep Convolutional Generative Adversarial Network using PyTorch to generate handwritten digits.
FabioD-Junior/GenerativeAI
This repository contains notebooks with academic projects to practice and explore image creation using AI, where the use of VAE (Variational Autoencoders) and GANs (Generative Adversarial Networks) was explored to generate human faces based on a dataset with examples.
sdivyanshu90/DeepLearning.AI-Generative-Adversarial-Networks-GANs-Specialization
This repository contains coursework and projects from the DeepLearning.AI GANs Specialization, covering topics like building GANs, advanced architectures (DCGANs, WGANs, StyleGANs), and applications in data augmentation and image-to-image translation.
suryansh-sinha/Conditional-DCGAN
A Conditional Deep Convolutional Generative Adversarial Network implemented in PyTorch, trained on the Fashion MNIST dataset.