Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
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Updated
Nov 8, 2023 - Jupyter Notebook
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Continuous Conditional Generative Adversarial Networks (CcGAN)
Computing the Sliding Fréchet Inception Distance between fake and real images with continous labels
Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable
Code repository for Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization
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