Collection of generative models in Tensorflow
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Updated
Aug 8, 2022 - Python
Collection of generative models in Tensorflow
Collection of generative models in Pytorch version.
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
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
Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.
Tensorflow implementation of different GANs and their comparisions
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods
Playing with MNIST. Machine Learning. Generative Models.
Pytorch implementations of GANs
Collection of generative models in Tensorflow
👩 Boundary Equilibrium Generative Adversarial Network Implementation in TensorFlow
A pytorch🔥🔥🔥 implementation of paper "GAN-Based Realistic Face Pose Synthesis with Continuous Latent Code", https://aaai.org/ocs/index.php/FLAIRS/FLAIRS18/paper/view/17643
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