1004 Open source projects that are alternatives of or similar to gans-2.0

Collection of generative models in Pytorch version.

The implementation of Relativistic average GAN with Keras

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

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

🐳 GAN implemented as Tensorflow 2.X

基于Tensorflow2开发的优秀扩展包及项目

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

Simple code implement the paper of CartoonGAN(CVPR2018)

Age + Gender Estimation on Android with TensorFlow Lite

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Listing my favorite research papers 📝 from different fields as I read them.

PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

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

Pytorch implementation of CycleGAN.

TensorFlow implementation of a Neural Turing Machine

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..

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

Tensorflow implementation of CycleGAN

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

15+ Machine/Deep Learning Projects in Ipython Notebooks

An implementation of CycleGan using TensorFlow

PyTorch implementation of Adversarially Learned Inference (BiGAN).

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

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

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

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Spectral Normalization for Keras Dense and Convolution Layers

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

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

Keras MNIST for Handwriting Detection

A 1D toy example of optimizing a generative model using the WGAN-GP model.

Pytorch implementation of BicycleGAN with implementation details

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

Invert the color of MNIST images with PyTorch

Colorization of grayscale images using CycleGAN in TensorFlow.

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

GAN in Tensorflow to be run via Linux command line

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

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

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

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

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

A curated list of dedicated resources and applications

Image-to-Image Translation in PyTorch

🎎 InfoGAN: Interpretable Representation Learning

This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.

A MNIST-like fashion product database. Benchmark 👇

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

A clean and readable Pytorch implementation of CycleGAN

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation