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abhi9741/README.md

Hi there 👋

  • Iam interested in designing & developing Deep Learning based intelligent systems, that learn autonomously from data applications.
  • With a bachelors in Computer Science & Engineering, I am currently pursuing a Masters in Advanced Colour Imaging (COSI).

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  1. Detecting-Eye-Disease-using-Deep-Learning Detecting-Eye-Disease-using-Deep-Learning Public

    Detecting Diabetic Retinopathy using Deep Learning.

    Jupyter Notebook 1

  2. Market-Segmentation-with-Machine-Learning-from-E-Commerce-Sales-Data Market-Segmentation-with-Machine-Learning-from-E-Commerce-Sales-Data Public

    Segmenting or dividing existing customers into various sub-groups based on shared characteristics, from E-Commerce ales data (order records)

    Jupyter Notebook 2

  3. Organic-Waste-Classification-from-Images-of-Waste Organic-Waste-Classification-from-Images-of-Waste Public

    Classifying type of waste (organic or inorganic) from the images containing waste

    Jupyter Notebook 1

  4. Spectral-Reconstruction-from-RGB-Images Spectral-Reconstruction-from-RGB-Images Public

    Reconstructing spectral reflectances(over visible wavelengths) from RGB images. A basic version of the system implemented for Picterus AS to "reconstruct the spectra of skin from smartphone images"

    Jupyter Notebook 2

  5. Role-of-Segementation-in-Skin-Lesion-Classification Role-of-Segementation-in-Skin-Lesion-Classification Public

    Studied the effect of various segmentation techniques (for pre-processing the image) on performance of skin lesion classification

    Jupyter Notebook 1

  6. PyTorch-Notes PyTorch-Notes Public

    Notes & implementation of useful PyTorch functions for future reference

    Jupyter Notebook 1