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Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Created 2017-03-27
26 commits to master branch, last one 7 years ago
Collection of generative models in Pytorch version.
Created 2017-08-31
87 commits to master branch, last one 6 years ago
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mit
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wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Created 2016-12-09
87 commits to master branch, last one 6 years ago
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learn code with tensorflow
Created 2016-11-10
80 commits to master branch, last one 5 years ago
Simple Implementation of many GAN models with PyTorch.
Created 2018-04-16
41 commits to master branch, last one 4 years ago
PyTorch Implementation of InfoGAN
Created 2019-01-19
36 commits to master branch, last one 5 years ago
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
Created 2019-11-20
70 commits to master branch, last one about a year ago
Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
Created 2018-12-30
4 commits to master branch, last one 5 years ago
Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.
Created 2021-09-18
90 commits to main branch, last one about a year ago
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods
Created 2017-10-30
51 commits to master branch, last one 2 months ago
Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)
Created 2021-01-05
37 commits to main branch, last one 2 years ago