#547 · Primary category: Education & Research
gans-in-action
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Project last updated:07/23/25
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MIT
Why we included this project
Each chapter folder in this repo holds runnable Keras and TensorFlow notebooks for the major GAN variants, from the original vanilla GAN through DCGAN, progressive GAN, conditional GAN, and CycleGAN. It accompanies the Manning book GANs in Action, so you can train the examples on MNIST, watch mode collapse and vanishing gradients show up, and then apply the fixes the authors describe. Every notebook points back to the canonical research paper, which helps you connect what runs to what was published. That combination makes it a practical study aid for students and engineers who learn by opening code and stepping through it cell by cell, not a framework you would drop into a product.
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