460 Open source projects that are alternatives of or similar to DCGAN-CelebA-PyTorch-CPP

Tensorflow implementation of different GANs and their comparisions

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

Simple Implementation of many GAN models with PyTorch.

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Study Friendly Implementation of DCGAN in Tensorflow

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

DCGAN image generator 🖼️.

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Keras implementation of Deep Convolutional Generative Adversarial Networks

Periodic Spatial Generative Adversarial Networks

爬虫+脸部识别+DCGAN脸部自动生成

A DCGAN that generate Cat pictures 🐱‍💻

MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)

Generate cat images with neural networks

Interactive Image Generation via Generative Adversarial Networks

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Awesome Generative Adversarial Networks with tensorflow

Modified h5tool.py make user getting celeba-HQ easier

Chainer implementation of Wasserstein GAN

基于keras使用dcgan自动生成动漫头像

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Semantic Image Inpainting

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

DCGAN face generator 🧑.

Image-to-image translation with conditional adversarial nets

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

GAN in Tensorflow to be run via Linux command line

Train DCGAN with TPUs on Google Cloud

[CVPR2020] Adversarial Latent Autoencoders

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

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

The Simplest DCGAN Implementation

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

PyTorch Implementation of DCGAN trained on the CelebA dataset.

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

GANs Implementations in Keras

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Chainer implementation of the Wesserstein GAN

Face generator from sketches using cGAN (pix2pix) model

Pytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.

GPU PyTorch TOP in TouchDesigner with CUDA-enabled OpenCV

Generate Cartoon Images using Generative Adversarial Network

A simple library that implements CLIP guided loss in PyTorch.

ECE 535 - Course Project, Deep Learning Framework

An extremely simple generative adversarial network, built with TensorFlow

Codes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)

Keras implementation of 3D Generative Adversarial Network.

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

Use keras.js and cyclegan-keras to colorize manga automatically. All computation in browser. Demo is online: