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  1. Exploring-Compression-Techniques-on-Deep-Neural-Network Exploring-Compression-Techniques-on-Deep-Neural-Network Public

    Deep Neural Networks (DNNs) can be compressed in a 3-stage pipeline: Pruning, Quantization and Huffman COding. This 3-stage pipeline can significantly reduce the memory usage of DNNs without induci…

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  2. Aryabb29.github.io Aryabb29.github.io Public

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  3. Smoothness-Prior-of-an-Image Smoothness-Prior-of-an-Image Public

    Visualization and Checking the Smoothness Prior of an Image

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  4. Shortest-Path Shortest-Path Public

    Finding the Shortest Path

    Jupyter Notebook

  5. Two-Dimensional-Convolution Two-Dimensional-Convolution Public

    Two-Dimensional Convolution

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  6. Structured-Pruning-for-Semantic-Segmentation-A-Comprehensive-Analysis Structured-Pruning-for-Semantic-Segmentation-A-Comprehensive-Analysis Public

    This project investigates the application of structured pruning techniques to enhance the efficiency of realtime semantic segmentation models crucial for computer vision applications.

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