430 Open source projects that are alternatives of or similar to WGAN-GP-tensorflow

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

Pure tensorflow implementation of progressive growing of GANs

Awesome Generative Adversarial Networks with tensorflow

Collection of generative models in Pytorch version.

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Collection of generative models in Tensorflow

Simple Implementation of many GAN models with PyTorch.

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Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

Chainer implementation of recent GAN variants

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

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

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

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

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

A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.

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

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

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

Playing with MNIST. Machine Learning. Generative Models.

Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.

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

My pytorch implementation for GAN

PyTorch study

3D-aware GANs based on NeRF (arXiv).

No description or website provided.

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Repository for MAD-GAN Paper done in ML CAMP Jeju

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

Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)

No description or website provided.

Synthetic Data Generation for mixed-type, multivariate time series.

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Improving MMD-GAN training with repulsive loss function

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

Generate image from text with Generative Adversarial Network

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

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

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

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

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

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

🤖A list of resources to help anyone getting started with GANs 🤖

CycleGAN based neural network architecture to change the gender of a person’s face

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

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

Implementation of Conditional Generative Adversarial Networks in PyTorch

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

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Generative Adversarial Networks in TensorFlow 2.0

Benchmarking synthetic data generation methods.

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

Paper notes in deep learning/machine learning and computer vision

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

Path Planning using Generative Adversarial Network (GAN)