calls gans-in-action “Book companion with Keras GAN notebooks; choose for guided, tutorial-style material.”
Keras implementations of Generative Adversarial Networks.
gans-in-action is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named gans-in-action among their alternatives. The relationship is not symmetric — how gans-in-action rates them is a separate judgement, made when gans-in-action is analysed in its own right.
calls gans-in-action “Book companion with Keras GAN notebooks; choose for guided, tutorial-style material.”
Keras implementations of Generative Adversarial Networks.
calls gans-in-action “choose it as a companion to the GANs in Action book, with narrower GAN-only notebooks.”
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
calls gans-in-action “use when you want GAN code as book-companion notebooks rather than the multi-model seed.”
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.