DCGAN
by tensorlayer
The Simplest DCGAN Implementation
AI summary
GAN generator
A deep learning implementation of a generative adversarial network for generating images from text descriptions.
- stars
- 340
- forks
- 115
- watching
- 13
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Image generator
Generates images using a Deep Convolutional Generative Adversarial Network (DCGAN) algorithm
GAN toolset
Provides tools and utilities for training and evaluating Generative Adversarial Networks (GANs) in TensorFlow
MRI reconstructor
Generative adversarial network for fast MRI reconstruction from compressed data
GAN framework
A collection of MATLAB implementations for Generative Adversarial Networks (GANs) and related deep learning techniques
Image generator
An implementation of a Generative Adversarial Network (GAN) designed to generate diverse types of images from single input images
Portrait generator
A Python implementation of a Generative Adversarial Network (GAN) model used to generate portraits from latent codes.
Image generator
A TensorFlow implementation of generating images from text descriptions using a Generative Adversarial Network (GAN) architecture
Image Text GAN Framework
Software framework for training and evaluating generative models of images and text based on adversarial networks
Image enhancer
An implementation of a generative adversarial network (GAN) used to improve image quality through super-resolution
Art image generator
A software framework for generating art-inspired images using deep learning techniques
Image generator
Implementation of a generative adversarial network for generating images with conditional variations.
Illustration Generator
A Generative Adversarial Networks implementation for modeling illustrations using a custom dataset of anime faces.
CycleGAN implementation
Re-implements CycleGAN using TensorLayer with improvements such as data augmentation and resize convolution
caogang/wgan-gp1.5K
GAN trainer
An implementation of an improved training algorithm for generative adversarial networks (GANs), specifically designed to stabilize the training process using a gradient penalty term.
GAN model
A PyTorch implementation of a Generative Adversarial Network (GAN) for discovering cross-domain relations.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions DCGAN.
