Shypd.aiThe largest open index of AI toolsgans-in-action is an Open Source companion repository for the book 'GANs in Action: Deep Learning with Generative Adversarial Networks.' It provides code examples and notebooks for various GAN architectures using Keras/TensorFlow.
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gans-in-action is the official companion repository for the book 'GANs in Action: Deep Learning with Generative Adversarial Networks' by Jakub Langr and Vladimir Bok. This open-source resource allows users to reproduce, study, and extend every hands-on example from the book. It features Jupyter notebooks that walk through major variants in the GAN family, from vanilla GANs to CycleGANs, implemented using Keras/TensorFlow. The repository covers fundamental concepts of generative modeling, adversarial training, and best practices for stable GAN training. It includes implementations of architectures like DCGAN, Progressive GAN, Semi-Supervised GAN, and Conditional GAN, along with educational resources and canonical GAN papers.
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