Awesome-GANs and All-About-the-GAN

Awesome-GANs
51
Established
All-About-the-GAN
51
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 762
Forks: 164
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 657
Forks: 150
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Awesome-GANs

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.

generative-AI image-synthesis deep-learning computer-vision AI-research

About All-About-the-GAN

hollobit/All-About-the-GAN

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Researchers and machine learning practitioners who work with Generative Adversarial Networks (GANs) can use this resource to find and track the latest developments. It provides a comprehensive, curated list of state-of-the-art GAN models and research papers. This helps you stay informed on what's new in the field without sifting through countless individual sources.

Generative AI research Machine learning papers Deep learning models AI trend tracking Neural network development

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