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  1. Pseudo-Log-Generation-using-Machine-Learning Pseudo-Log-Generation-using-Machine-Learning Public

    The goal is to develop data-driven models by processing “easy-to-acquire” conventional logs from Well 1 and using the data-driven models to generate synthetic compressional and shear travel-time lo…

    Jupyter Notebook 2

  2. github-slideshow github-slideshow Public

    A robot powered training repository 🤖

    Ruby

  3. Image-Quality-Enhancement-Using-Machine-Learning Image-Quality-Enhancement-Using-Machine-Learning Public

    Proposed a novel method for image quality enhancement using diffusion models

    Jupyter Notebook

  4. Defense-Mechanisms-Against-Adversarial-Attacks-in-Computer-Vision- Defense-Mechanisms-Against-Adversarial-Attacks-in-Computer-Vision- Public

    Developed robust image classification models to prevent the effect of adversarial attacks

    Jupyter Notebook

  5. Development-of-Computer-Aided-Diagnosis-for-Early-Detection-of-Skin-Cancer-A-Review Development-of-Computer-Aided-Diagnosis-for-Early-Detection-of-Skin-Cancer-A-Review Public

    Review of recent evolution of CAD in medical image classification.

  6. Autoencoder-for-Image-Reconstruction-and-Image-Denoising Autoencoder-for-Image-Reconstruction-and-Image-Denoising Public

    Designed a convolutional auto-encoder network for image reconstruction and denoising.

    Jupyter Notebook