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https://github.com/mafda/generative_adversarial_networks_101
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
https://github.com/mafda/generative_adversarial_networks_101
ccgan ccgans cgan cgans cifar-10 cifar10 conda-environment dcgan gan gans generative-adversarial-network generative-adversarial-networks jupyter-notebook keras lsgan lsgans mnist mnist-dataset tensorflow wgan
Last synced: about 2 months ago
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Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
- Host: GitHub
- URL: https://github.com/mafda/generative_adversarial_networks_101
- Owner: mafda
- License: mit
- Created: 2018-06-14T13:43:36.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-11-08T01:10:52.000Z (11 months ago)
- Last Synced: 2024-06-02T03:32:21.751Z (4 months ago)
- Topics: ccgan, ccgans, cgan, cgans, cifar-10, cifar10, conda-environment, dcgan, gan, gans, generative-adversarial-network, generative-adversarial-networks, jupyter-notebook, keras, lsgan, lsgans, mnist, mnist-dataset, tensorflow, wgan
- Language: Jupyter Notebook
- Homepage:
- Size: 16.1 MB
- Stars: 201
- Watchers: 8
- Forks: 79
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE