310 Open source projects that are alternatives of or similar to Generative-Model

Collection of generative models in Tensorflow

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

Playing with MNIST. Machine Learning. Generative Models.

Collection of generative models in Pytorch version.

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

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

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

GANs Implementations in Keras

Pure tensorflow implementation of progressive growing of GANs

Awesome Generative Adversarial Networks with tensorflow

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

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

여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Simple Implementation of many GAN models with PyTorch.

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

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

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

Official pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.

StarGAN - Official PyTorch Implementation (CVPR 2018)

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

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

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

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

A collection of deep learning models (PyTorch implemtation)

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

Machine learning, in numpy

Assessing Generative Models via Precision and Recall (official repository)

Ladder Variational Autoencoders (LVAE) in PyTorch

A Collection of Variational Autoencoders (VAE) in PyTorch.

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

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

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..

Chainer implementation of Least Squares GAN (LSGAN)

Chainer implementation of recent GAN variants

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

Implementation of Conditional Generative Adversarial Networks in PyTorch

GAN models with Anime.

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

Chainer implementation of Wasserstein GAN

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

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

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

Deep Learning sample programs using PyTorch in C++

Tensorflow implementation of different GANs and their comparisions

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

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.

dcgan combined with vae in pytorch!

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

Improving MMD-GAN training with repulsive loss function

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

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

Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules

DeepGTT: Learning Travel Time Distributions with Deep Generative Model

Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution