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  1. ZSE-GAN ZSE-GAN Public

    The ZSE-GAN is to implement two 3D generators and two 2D discriminators and formulate the adversarial and the consistency losses with distinct weights for z-stack imaging of stack images.

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  2. Double-Q-Learning Double-Q-Learning Public

    This toy example of Reinforcement Learning demonstrates a simplified implementation of Double Q-Learning to play Super Mario.

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  3. Cycle-GAN Cycle-GAN Public

    This toy example of CycleGAN demonstrates the implementation of translating images in an unsupervised manner.

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  4. Facial-Image-Registration Facial-Image-Registration Public

    This example utilizes the Elastix software to implement a transformation function, image metrics, and regularization terms for constructing a numerical optimization. Ultimately, it achieves image r…

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  5. LION LION Public

    Forked from CambridgeCIA/LION

    Learned Iterative Optimization Networks

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