AGI

http://www.evolvingai.org/ppgn

https://github.com/soumith/ganhacks

Wasserstein GAN https://github.com/tdeboissiere/DeepLearningImplementations/blob/master/WassersteinGAN/README.md and https://gist.github.com/soumith/71995cecc5b99cda38106ad64503cee3 We introduce a new algorithm named WGAN, an alternative to traditional GAN training. In this new model, we show that we can improve the stability...

https://github.com/wayaai/SimGAN/blob/master/sim-gan.py#L138 ```python # define custom local adversarial loss (softmax for each image section) for the discriminator # the adversarial loss function is the sum of the cross-entropy losses over the...

https://github.com/dribnet/plat http://arxiv.org/abs/1609.04468 Utilities for exploring generative latent spaces as described in the Sampling Generative Networks paper. Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks paper:https://arxiv.org/abs/1701.04722 https://gist.github.com/poolio/b71eb943d6537d01f46e7b20e9225149

https://github.com/affinelayer/pix2pix-tensorflow

Guo-Jn Qi. Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities. arXiv:1701.06264 [pdf] The cost function used in this GLS-GAN implementation is a leaky rectified linear unit with a slope set in...

https://github.com/junyanz/CycleGAN

https://github.com/GunhoChoi/DiscoGAN_TF https://github.com/carpedm20/DiscoGAN-pytorch https://github.com/SKTBrain/DiscoGAN

https://github.com/LMescheder/AdversarialVariationalBayes Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks