Wgan Gp Collection

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“Machine learning, in numpy”

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“Collection of generative models in Tensorflow”

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“Collection of generative models in Pytorch version.”

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“A pytorch implementation of Paper "Improved Training of Wasserstein GANs"”

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

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“Awesome Generative Adversarial Networks with tensorflow”

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

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

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“Improved WGAN in Pytorch”

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“Reimplementation of GANs”

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“Chainer implementation of recent GAN variants”

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“Simple Implementation of many GAN models with PyTorch.”

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“Pytorch implementation of Wasserstein GANs with Gradient Penalty”

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“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”

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“PyTorch implementation of DCGAN, WGAN-GP and SNGAN. ”

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“DCGAN LSGAN WGAN-GP DRAGAN PyTorch”

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“implementation of several GANs with pytorch”

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“GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.”