505 Open source projects that are alternatives of or similar to DCGAN-CIFAR10

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

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

GAN in Tensorflow to be run via Linux command line

Implementation of Conditional Generative Adversarial Networks in PyTorch

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

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

Image-to-image translation with conditional adversarial nets

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

The Simplest DCGAN Implementation

The implementation of Relativistic average GAN with Keras

Chainer implementation of recent GAN variants

Interactive Image Generation via Generative Adversarial Networks

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

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

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

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

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Awesome Generative Adversarial Networks with tensorflow

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

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

Semantic Image Inpainting

Improving MMD-GAN training with repulsive loss function

DCGAN image generator 🖼️.

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Spectral Normalization for Keras Dense and Convolution Layers

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

PyTorch implementation of Adversarially Learned Inference (BiGAN).

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

Generative Adversarial Networks in TensorFlow 2.0

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

A curated list of dedicated resources and applications

Stochastic Adversarial Video Prediction

Paper notes in deep learning/machine learning and computer vision

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

Everything about Generative Adversarial Networks

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

anomaly detection by one-class SVM

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.

Stacked Generative Adversarial Networks

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

Semi-supervised GAN in "Improved Techniques for Training GANs"

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

Image-to-Image Translation in PyTorch

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Keras implementation of temporal ensembling(semi-supervised learning)

On the "steerability" of generative adversarial networks

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.