564 Open source projects that are alternatives of or similar to Dcgan Tensorflow

PyTorch Implementation of DCGAN trained on the CelebA dataset.

Periodic Spatial Generative Adversarial Networks

Semantic Image Inpainting

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

CPU/GPU/TPU implementation of the Fréchet Inception Distance

Adversarial Generation of Continuous Images [CVPR 2021]

DCGAN face generator 🧑.

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

A DCGAN that generate Cat pictures 🐱‍💻

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

GAN in Tensorflow to be run via Linux command line

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"

Awesome Generative Adversarial Networks with tensorflow

Image-to-image translation with conditional adversarial nets

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

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

DCGAN image generator 🖼️.

Spectral Normalization for Keras Dense and Convolution Layers

No description or website provided.

GANs Implementations in Keras

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

基于keras使用dcgan自动生成动漫头像

DCGAN Implementation using PyTorch in both C++ and Python

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

Train DCGAN with TPUs on Google Cloud

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

Interactive Image Generation via Generative Adversarial Networks

爬虫+脸部识别+DCGAN脸部自动生成

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Pytorch implementation of pix2pix for various datasets.

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

Chainer implementation of Wasserstein GAN

Keras implementation of Deep Convolutional Generative Adversarial Networks

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

Tensorflow implementation of different GANs and their comparisions

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

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

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

A stable algorithm for GAN training

[CVPR2020] Adversarial Latent Autoencoders

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

Improving MMD-GAN training with repulsive loss function

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Simple Implementation of many GAN models with PyTorch.

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Face generator from sketches using cGAN (pix2pix) model

Study Friendly Implementation of DCGAN in Tensorflow

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Generate cat images with neural networks

The Simplest DCGAN Implementation

Collection of generative models in Tensorflow

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

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..

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

Speech Enhancement Generative Adversarial Network in TensorFlow

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.