398 Open source projects that are alternatives of or similar to Gan Weight Norm

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

My pytorch implementation for GAN

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

A curated list of awesome projects which use Machine Learning to generate synthetic content.

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

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

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

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

Text to image synthesis using thought vectors

🐳 GAN implemented as Tensorflow 2.X

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

Pure tensorflow implementation of progressive growing of GANs

Privacy-preserving generative deep neural networks support clinical data sharing

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

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

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

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

PyTorch study

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

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

Disentangled Makeup Transfer with Generative Adversarial Network

Improving MMD-GAN training with repulsive loss function

Tutorial on creating your own GAN in Tensorflow

Generate image from text with Generative Adversarial Network

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

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

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

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Implementation of Conditional Generative Adversarial Networks in PyTorch

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

Generative Adversarial Networks in TensorFlow 2.0

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

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

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.

A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)

A sketch extractor for anime/illustration.

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

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

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

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

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

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!

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

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

Chainer implementation of recent GAN variants

30 Days GANs Paper Reading

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

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Learning kernels to maximize the power of MMD tests

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

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Focal Frequency Loss for Generative Models

GANs for time series generation in pytorch

Training a MNIST classifier, and use it to compute inception score (ICP)

The implementation of Temporal Generative Adversarial Nets with Singular Value Clipping