https://github.com/alireza-akhavan/gan_tutorial
https://github.com/alireza-akhavan/gan_tutorial
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/alireza-akhavan/gan_tutorial
- Owner: Alireza-Akhavan
- Created: 2022-02-16T11:44:50.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-06-14T16:21:13.000Z (over 3 years ago)
- Last Synced: 2025-04-06T22:37:56.238Z (6 months ago)
- Language: Jupyter Notebook
- Size: 6.66 MB
- Stars: 13
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# GAN_tutorial
Simple Gan
DCGan
[Intro to AutoEncoders](https://www.tensorflow.org/tutorials/generative/autoencoder)
[Conditional GAN](https://keras.io/examples/generative/conditional_gan)
[GAN overriding Model.train_step](https://keras.io/examples/generative/dcgan_overriding_train_step)
[Pix2pix](https://www.tensorflow.org/tutorials/generative/pix2pix)
[CycleGAN](https://www.tensorflow.org/tutorials/generative/cyclegan)
[Style Transfer](https://www.tensorflow.org/tutorials/generative/style_transfer)
[AdaIN](https://keras.io/examples/generative/adain)
Progressive GAN [nbviewer](https://nbviewer.org/github/Alireza-Akhavan/GAN_tutorial/blob/main/progressive_gan.ipynb) | [Colab](https://colab.research.google.com/github/Alireza-Akhavan/GAN_tutorial/blob/main/progressive_gan.ipynb)
[StyleGAN](https://keras.io/examples/generative/stylegan)
# Other Notebooks:
[StyleGAN3 Editing](https://github.com/yuval-alaluf/stylegan3-editing/blob/main/README.md)
[StyleGAN pretrained](https://github.com/PranjalBiswas/Course-Online-DeepLearning_t81_558/blob/master/t81_558_class_07_3_style_gan.ipynb)
[Face_Modificator_with_StyleGAN2](https://colab.research.google.com/github/tg-bomze/StyleGAN2-Face-Modificator/blob/master/Face_Modificator_with_StyleGAN2_(Eng).ipynb)
# Some links
[Thispersondoesnotexist.com](https://thispersondoesnotexist.com/)
[Generated.photos](https://generated.photos/face-generator/)
[Whichfaceisreal.com](https://www.whichfaceisreal.com/)
[Progan+Transparent Latent-space GAN + streamlit](https://github.com/streamlit/demo-face-gan)