MMD-GANImproving MMD-GAN training with repulsive loss function
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Mutual labels: discriminator, generative-adversarial-network
progressive-growing-of-gans.pytorchUnofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".
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Mutual labels: discriminator, generative-adversarial-network
Music-generation-cRNN-GANcRNN-GAN to generate music by training on instrumental music (midi)
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Mutual labels: generative-adversarial-network
face inpaintingNo description or website provided.
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Mutual labels: generative-adversarial-network
csganTask-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)
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Mutual labels: generative-adversarial-network
cim-specThis repository hosts the specification for the Cartographic Information Model
Stars: ✭ 45 (-23.73%)
Mutual labels: specification
py-msa-kdenlivePython script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.
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Mutual labels: generative-adversarial-network
CPCE-3DLow-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
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Mutual labels: generative-adversarial-network
CartoonGAN-tensorflowSimple code implement the paper of CartoonGAN(CVPR2018)
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Mutual labels: generative-adversarial-network
WGAN-GP-TensorFlowTensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
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Mutual labels: generative-adversarial-network
ganA 1D toy example of optimizing a generative model using the WGAN-GP model.
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Mutual labels: generative-adversarial-network
pytorch-CycleGANPytorch implementation of CycleGAN.
Stars: ✭ 39 (-33.9%)
Mutual labels: generative-adversarial-network
adversarial-recommender-systems-surveyThe goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…
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Mutual labels: generative-adversarial-network
Keras ile Derin Ogrenmeye GirisBTK Akademi -1 Milyon İstihdam Projesi için Merve Ayyüce Kızrak tarafından Hazırlanmıştır.
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Mutual labels: generative-adversarial-network
ArtGANTensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "
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Mutual labels: generative-adversarial-network
Exemplar-GAN-Eye-Inpainting-TensorflowTensorflow implement of "Eye In-Painting with Exemplar Generative Adversarial Networks"
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Mutual labels: generative-adversarial-network
multitask-CycleGANPytorch implementation of multitask CycleGAN with auxiliary classification loss
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Mutual labels: generative-adversarial-network
tiny-pix2pixRedesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture
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Mutual labels: generative-adversarial-network
openapiGitHub's official OpenAPI spec with Octokit extensions
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Mutual labels: specification
GAN-Anime-CharactersApplied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.
Stars: ✭ 43 (-27.12%)
Mutual labels: generative-adversarial-network
