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MADE
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MADE: Masked Autoencoder for Distribution Estimation |
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dcgan_vae_pytorch
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dcgan combined with vae in pytorch! |
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SimGAN
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Implementation of Apple's Learning from Simulated and
Unsupervised Images through Adversarial Training |
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CausalGAN
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CausalGAN/CausalBEGAN in Tensorflow |
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pytorch-generative-model-collections
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Pytorch implementation of various GANs. |
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vae_vampprior
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Code for the paper "VAE with a VampPrior", J.M.
Tomczak & M. Welling
https://jmtomczak.github.io/deebmed.html |
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really-awesome-gan
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A list of papers and other resources on General
Adversarial (Neural) Networks. This site is maintained by
Holger Caesar. To complement or correct it, please
contact me at holger-at-it-caesar.com or visit
it-caesar.com. Also checkout
really-awesome-semantic-segmentation and our COCO-Stuff
dataset. |
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Delving-deep-into-GANs
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A curated, quasi-exhaustive list of state-of-the-art
publications and resources about Generative Adversarial
Networks (GANs) and their applications. |
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CycleGAN-and-pix2pix.pytorch
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Image-to-image translation in PyTorch (e.g.
horse2zebra, edges2cats, and more) |
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improved_wgan_training.Pytorch
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Code for reproducing experiments in "Improved
Training of Wasserstein GANs" |
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wgan-gp.PyTorch
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A pytorch implementation of Paper "Improved Training
of Wasserstein GANs" |
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grammar_variational_autoencoder.PyTorch
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pytorch implementation of grammar variational
autoencoder |
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pytorch-CycleGAN-and-pix2pix
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Image-to-image translation in PyTorch (e.g.
horse2zebra, edges2cats, and more) |
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dong_iccv_2017
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A PyTorch implementation of the paper "Semantic Image
Synthesis via Adversarial Learning" in ICCV 2017 |
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pytorch_gans
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Experiment with different Gans architecture |
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SRResNet.pytorch
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pytorch implementation for Photo-Realistic Single
Image Super-Resolution Using a Generative Adversarial
Network arXiv:1609.04802v2 |
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generative-models.PyTorch
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Collection of generative models, e.g. GAN, VAE in
Pytorch and Tensorflow. |
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ARAE.PyTorch
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Code for the paper "Adversarially Regularized
Autoencoders for Generating Discrete Structures" by Zhao,
Kim, Zhang, Rush and LeCun
https://arxiv.org/abs/1706.04223 |
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Conditional-GAN.Pytorch
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Implementation of a Conditional GAN in PyTorch for
generating movie posters, conditioned on the genre of
movie |
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CycleGAN-and-pix2pix.pytorch
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CycleGAN and pix2pix in PyTorch |
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dragan.pytorch
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PyTorch implementation of DRAGAN
(https://arxiv.org/abs/1705.07215) |
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cramer-Gan.Pytorch
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pytorch implementation of cramer gan
https://arxiv.org/abs/1705.10743 |
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RVAE.PyTorch
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Recurrent Variational Autoencoder that generates
sequential data implemented in pytorch |
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