771 Open source projects that are alternatives of or similar to Awesome Gans

My Userscripts

A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp implementation of SRGAN referring to "Improved Training of Wasserstein GANs".

[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

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

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

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

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

🐳 GAN implemented as Tensorflow 2.X

Resources on Music Generation with Deep Learning

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

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

Tensorflow implementation of paper "unsupervised image to image translation networks"

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

Domain adaptation networks for digit recognitioning

ProGAN package implemented as an extension of PyTorch nn.Module

[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

A simple library that implements CLIP guided loss in PyTorch.

Generative Adversarial Networks in TensorFlow 2.0

dcgan combined with vae in pytorch!

A summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

Improved WGAN in Pytorch

Generative Adversarial Network with Weight Normalization + ResNet

Paper notes in deep learning/machine learning and computer vision

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

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.

SMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.

Generative Adversarial Text to Image Synthesis / Please Star -->

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 sketch extractor for anime/illustration.

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

ECE 535 - Course Project, Deep Learning Framework

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

Densely Connected Pyramid Dehazing Network (CVPR'2018)

No description or website provided.

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

gail, infogail, hierarchical gail implementations

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

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

Colorization of grayscale images using CycleGAN in TensorFlow.

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

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

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!

GitHub repository for "Improving Video Generation for Multi-functional Applications"

Lagrangian VAE

Assessing Generative Models via Precision and Recall (official repository)

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

30 Days GANs Paper Reading

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

A Latex style and template for paper preprints (based on NIPS style)

Official TP-GAN Tensorflow implementation for paper "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis"

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

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

Generative Adversarial Network for single image super-resolution in high content screening microscopy images