Wgan Gp Tensorflow
TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Ganhacks | 10,210 | 2 years ago | 54 | |||||||
| starter from "How to Train a GAN?" at NIPS2016 | ||||||||||
| Biggan Pytorch | 2,356 | 3 years ago | 30 | mit | Python | |||||
| The author's officially unofficial PyTorch BigGAN implementation. | ||||||||||
| Grenade | 1,430 | 3 | 4 months ago | 1 | April 12, 2017 | 23 | bsd-2-clause | Haskell | ||
| Deep Learning in Haskell | ||||||||||
| Wgan Tensorflow | 557 | 7 years ago | 11 | Jupyter Notebook | ||||||
| a tensorflow implementation of WGAN | ||||||||||
| Wassersteingan.tensorflow | 415 | 7 years ago | 7 | mit | Python | |||||
| Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875 | ||||||||||
| Tensorflow Multigpu Vae Gan | 399 | 5 years ago | 10 | mit | Jupyter Notebook | |||||
| A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations. | ||||||||||
| Hands On Deep Learning Algorithms With Python | 241 | 4 years ago | 1 | Jupyter Notebook | ||||||
| Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow | ||||||||||
| Pytorch Lesson Zh | 214 | 5 years ago | 1 | Jupyter Notebook | ||||||
| pytorch 包教不包会 | ||||||||||
| Pix2latent | 149 | 3 years ago | 1 | apache-2.0 | Python | |||||
| Code for: Transforming and Projecting Images into Class-conditional Generative Networks | ||||||||||
| Symplectic Gradient Adjustment | 142 | 5 years ago | apache-2.0 | Jupyter Notebook | ||||||
| A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games" | ||||||||||
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Wgan Gp