cdcgan 开源项目推荐（23 个）

znxlwm /pytorch-MNIST-CelebA-cGAN-cDCGAN

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

togheppi /cDCGAN

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

gaborvecsei /CDCGAN-Keras

Conditional Deep Convolutional GAN

sarahwolf32 /conditional-DCGAN-for-MNIST

A conditional DCGAN, in Tensorflow, for generating hand-written digits from the MNIST dataset.

carolineh101 /deep-learning-architecture

Deep learning classifier and image generator for building architecture.

zhiyichin /Deep_Learning_Practice_labs

Labs for 5003 Deep Learning Practice course in summer term 2021 at NYCU.

manishankarbalu /c-DCGAN

We use Conditional-DCGAN to generate animated faces 👫 and emojis 😃 using pytorch

sobhanshukueian /Conditional-DCGAN

Conditional Deep Convolutional GAN implementation using pytorch on MNIST dataset.

LatentLinker /machine-learn

神经网络模型训练研究学习

moono /GANs

Study Generative Adversarial Networks

CristianCosci /Generative_Adversarial_Networks_GAN__Overview

A small overview of what GANs and their main variants are, with related implementations.

abi98213 /Gan_with_Pytorch

Simple and intuitive implementations of Generative Adversarial Networks with pytorch

davide-abbattista /outGANfit

outGANfit - a cDCGANs-based architecture

zokovi /cDCGAN-MNIST

This Repository contain an IPython notebook of an example implementation of conditional Deep Convolutional Generative Adversarial Networks or cDCGAN or DC cGAN using Tensorflow.Keras Funtional API.

nataliakoliou /Music-Visualization-Network

cDCGAN model for audio-to-image generation: a cross-modal analysis using deep-learning techniques

yahiathen /Generative-Adversarial-Networks

Step by step Generative Adversarial Networks and Conditional GAN building using Pytorch

Prashant-mahajan /Few-shot-Image-Generation

General Adversial Networks using Few shot learning

vrai-group /guided-infant-generation

GAN-based framework to generate depth images of infants from a desired image and pose

Dai7Igarashi /conditionalDCGAN

conditionalDCGAN for MNIST with chainer

suryansh-sinha /Conditional-DCGAN

A Conditional Deep Convolutional Generative Adversarial Network implemented in PyTorch, trained on the Fashion MNIST dataset.