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  • Rank 3,963,521 (Top 79 %)
  • Language
    Jupyter Notebook
  • Created over 1 year ago
  • Updated over 1 year ago

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Repository Details

The goal of this project is to use CycleGAN, a type of Generative Adversarial Network (GAN), to convert original images to Monet-style paintings. This project was motivated by the desire to explore the capabilities of GANs in image-to-image translation tasks, as well as the potential for using GANs to create artwork in different styles.