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A clean and readable Pytorch implementation of CycleGAN
The main features of aitorzip/pytorch-cyclegan are: GANs, VAEs, and AEs.
Projects with overlapping indexed features include: caogang/wgan-gp — A pytorch implementation of Paper "Improved Training of Wasserstein GANs". catalyst-team/gan — Catalyst.GAN. csailvision/gandissect — Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/. dmitryulyanov/age — Code for the paper "Adversarial Generator-Encoder Networks". duanenielsen/deepinfomaxpytorch — Learning deep representations by mutual information estimation and maximization. ajbrock/biggan-pytorch — The author's officially unofficial PyTorch BigGAN implementation.
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
The author's officially unofficial PyTorch BigGAN implementation.
