8000 Soumyajit2709 (Soumyajit Maity) · GitHub
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  1. Autoencoder-Based-Abnormality-Detection-in-Bone-X-Ray-images-Using-MURA-Dataset Autoencoder-Based-Abnormality-Detection-in-Bone-X-Ray-images-Using-MURA-Dataset Public

    An autoencoder-based model to detect abnormalities in bone X-rays using the MURA dataset. We preprocess images (96×96), extract features using ResNet50, and address class imbalance with SMOTETomek.…

    Jupyter Notebook

  2. AN-APPROACH-TO-CLASSIFY-ASTRONOMICAL-OBJECT-USING-IMBALANCED-SLOAN-DIGITAL-SKY-SURVEY-DATA AN-APPROACH-TO-CLASSIFY-ASTRONOMICAL-OBJECT-USING-IMBALANCED-SLOAN-DIGITAL-SKY-SURVEY-DATA Public

    Classify stars, galaxies, and quasars with SDSS DR16 data. Balanced dataset using resampling techniques improves AdaBoost classifier's performance, enhancing astronomical object classification accu…

    Jupyter Notebook

  3. Mav-Wallet Mav-Wallet Public

  4. 5008 Grayscale-Image-to-RGB-image-converter-using-Transfer-Learning-Method Grayscale-Image-to-RGB-image-converter-using-Transfer-Learning-Method Public

    It is a simple machine learning algorithm to convert Grayscale Images to Colored Images. It uses VGG-16 model. We have finetuned this model and made it accurate for this algorithm to convert images…

    Jupyter Notebook 5

  5. Drug-Detection-using-Graph-Embedding Drug-Detection-using-Graph-Embedding Public

    It is a simple machine learning algorithm to get the latent vector of the Molecules from the datasets. After that we address the imbalance problem in the dataset and handle it by using various resa…

    Jupyter Notebook

  6. MEDNet-based-Imbalanced-Cataract-Detection-using-Digital-Eye-Images MEDNet-based-Imbalanced-Cataract-Detection-using-Digital-Eye-Images Public

    Enhancing cataract detection using a MEDNet-based model. Improved accuracy and speed with latent vectors and sampling techniques. Automated early detection for better patient outcomes and reduced o…

    Jupyter Notebook 1

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