Infogan Collection

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“Collection of generative models in Tensorflow”

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

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“Collection of generative models in Pytorch version.”

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

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“learn code with tensorflow”

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

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“Simple Implementation of many GAN models with PyTorch.”

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“PyTorch Implementation of InfoGAN”

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“Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.”

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

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“:dolls: InfoGAN: Interpretable Representation Learning”

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“implement infoGAN using pytorch”

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“InfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.”

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“Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE”

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“Repository for implementation of generative models with Tensorflow 1.x”

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“Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.”

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“ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods”