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GitHub / parikshitkumar1 / Image-Generation-using-Generative-Networks

A web-app based on Wasserstein Generative Adversarial Network architecture with GP that generates multiple realistic paintings, trained on 8k Albrecht Dürer's paintings, includes super-res mode.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parikshitkumar1%2FImage-Generation-using-Generative-Networks

Stars: 3
Forks: 0
Open issues: 0

License: apache-2.0
Language: Python
Size: 32.2 MB
Dependencies parsed at: Pending

Created at: about 4 years ago
Updated at: over 2 years ago
Pushed at: over 3 years ago
Last synced at: almost 2 years ago

Topics: dcgan, dcgan-pytorch, gan, generative-adversarial-network, heroku, pil, pytorch, pytorch-gan, streamlit-webapp, wgan-gp

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