516 Open source projects that are alternatives of or similar to Sgan

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

Face generator from sketches using cGAN (pix2pix) model

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

PyTorch implementation of ESRGAN (ECCVW 2018) for compressed image subjective quality enhancement.

A large-scale face dataset for face parsing, recognition, generation and editing.

An extremely simple generative adversarial network, built with TensorFlow

in progress

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

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

Invert the color of MNIST images with PyTorch

Image-to-Image Translation in PyTorch

things I help(ed) to build

Image-to-image translation with conditional adversarial nets

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)

CPU/GPU/TPU implementation of the Fréchet Inception Distance

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Code for reproducing results in "Generative Model with Dynamic Linear Flow"

Generative Adversarial Network with Weight Normalization + ResNet

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

A deep generative model library in Theano and Lasagne

Colorization of grayscale images using CycleGAN in TensorFlow.

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Implementation of a paper "Polyphonic Music Generation with Sequence Generative Adversarial Networks" in TensorFlow

chainer implementation of pix2pix

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Pytorch implementation of Generated Image Quality Assessment

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Unofficial implementation of StyleGAN's generator

Awesome GAN for Medical Imaging

Improving Document Binarization via Adversarial Noise-Texture Augmentation

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

Showcasing various fun adventures with GANs

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

The notes for Math, Machine Learning, Deep Learning and Research papers.

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

An implementation of VAEGAN (variational autoencoder + generative adversarial network).

Novel molecules from a reference shape!

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

DCGAN image generator 🖼️.

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

Tensorflow implementation of PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Tutorial on creating your own GAN in Tensorflow

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Code for the paper "Jukebox: A Generative Model for Music"

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks