atikul-islam-sajib / CycleGAN

Cycle Generative Adversarial Network, or CycleGAN, is an approach to training a deep convolutional neural network for image-to-image translation tasks. The Network learns mapping between input and output images using unpaired dataset.
MIT License
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Generator code should be added in the notebook #8

Closed atikul-islam-sajib closed 5 months ago

atikul-islam-sajib commented 5 months ago

completed ...