hollobit / All About The Gan
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All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
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All-About-the-GANs
GAN(Generative Adversarial Networks)s are the models that used in unsupervised machine learning, implemented by a system of two neural networks competing against each other in a zero-sum game framework. It was introduced by Ian Goodfellow et al. in 2014.
The purpose of this repository is providing the curated list of the state-of-the-art works on the field of Generative Adversarial Networks since their introduction in 2014.
It provides a list that merged information from various GAN lists and repositories as below:
🔗 Reference repositories
- [GAN zoo] - A list of all named GANs! by hindupuravinash
- Delving deep into Generative Adversarial Networks (GANs) [Delving] by GKalliatakis
- Awesome GAN for Medical Imaging [Medical] by xinario
- [Adversarial Nets Papers] The classic about Generative Adversarial Networks
- [Really Awesome GAN] by nightrome
- [GANs Paper Collection] by shawnyuen
- [GAN awesome applications] by nashory
- [GAN timeline] by dongb5
- [GAN comparison without cherry-picking] by khanrc
- Collection of generative models in [Keras], [Pytorch version], [Tensorflow version], [Chainer version]
- [Tensor layer]
- [Tensor pack]
You can also check out the same data in a tabular format with functionality to filter by year or do a quick search by title here.
Contributions are welcome. Please contact me at [email protected] or send a pull request. You can have to add links through pull requests or create an issue which something I missed or need to start a discussion.
You can access the whole list by two way
simple web style - https://hollobit.github.io/All-About-the-GAN/
1.Readme style
2.All GANs Search
3.Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].