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vision-mamba

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Implementation of a Vision-Mamba network, integrating State Space Models (SSM) with a patch-based encoder–decoder for image inpainting, colorization, and denoising. Trained with L1, SSIM, and VGG perceptual losses to preserve both structure and perceptual realism.

  • Updated Nov 26, 2025
  • Jupyter Notebook

Comparative study of CNN, Transformer, and SSM-based models for multi-domain image classification tasks. Developed as the undergraduate thesis project of Group-T2410196 at BRAC University, Fall 2024.

  • Updated May 26, 2025
  • Jupyter Notebook

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