Keras implementations of Generative Adversarial Networks.
Implement various types of Generative Adversarial Networks using Keras, based on research papers.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeKeras implementations of Generative Adversarial Networks.
Keras-GAN has 9.2k stars on GitHub. It has been forked 3.1k times. Keras-GAN is written mainly in Python. It has been in active development since 2017. Keras-GAN is available under the MIT license. Its main topics are deep-learning, gan, generative-adversarial-networks, keras.
Keras implementations of Generative Adversarial Networks.
Keras-GAN is an open-source project. It is released under the MIT license.
Yes. Keras-GAN is free and open source — you can use, modify and self-host it.
Keras-GAN is available under the MIT license.
Keras-GAN is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/eriklindernoren-keras-gan.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.