GANs-in-Action/gans-in-action resource

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1035 stars · 423 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

The official companion repository for the book 'GANs in Action', containing Jupyter notebook implementations of GAN architectures from vanilla GAN to CycleGAN using Keras and TensorFlow. It lets readers reproduce, study, and extend every hands-on example from the book.

Use cases

• learn how generative adversarial networks work
• implement a GAN from scratch in Keras
• understand DCGAN and CycleGAN with runnable code
• study adversarial training with worked examples
• find tutorial notebooks for GAN variants
• reproduce book examples on generative models

When to choose

• you are reading or studying the GANs in Action book
• you want educational, chapter-by-chapter GAN implementations
• you prefer learning through runnable Jupyter notebooks

When to avoid

• you need a production-ready GAN training framework
• you want up-to-date code for modern TensorFlow versions
• you need state-of-the-art generative models like diffusion models

Facets

learning-resource · maturity maintenance

machine-learning deep-learning image-processing deep-learning machine-learning artificial-intelligence tutorials python cross-platform gan generative-adversarial-networks jupyter-notebooks keras tensorflow dcgan cyclegan book-companion educational

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