kozistr/Awesome-GANs
Awesome Generative Adversarial Networks with tensorflow
If you're an AI or machine learning practitioner looking to explore or implement Generative Adversarial Networks (GANs), this project provides a collection of GAN models. It takes various image datasets as input, like MNIST, CIFAR, or CelebA, and outputs newly generated images based on the chosen GAN architecture. This is for researchers, data scientists, or developers working on image synthesis and generation tasks.
762 stars. No commits in the last 6 months.
Use this if you want to experiment with different Generative Adversarial Network architectures and generate synthetic images from standard datasets.
Not ideal if you are looking for a plug-and-play solution for generating images in a production environment or if you do not have access to GPU hardware with sufficient memory.
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762
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164
Language
Python
License
MIT
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Last pushed
Jun 25, 2022
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