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    • Few-shot sound event detection with self-supervised learning and meta-learning, adaptable to bioacoustics and healthcare.
      0000Updated Jan 29, 2026Jan 29, 2026
    • Ml project to predict cervcal cancer.
      Jupyter Notebook
      1000Updated Jan 26, 2026Jan 26, 2026
    • Jupyter Notebook
      1000Updated Jan 24, 2026Jan 24, 2026
    • .github

      Public
      0000Updated Sep 24, 2025Sep 24, 2025
    • Hybrid CNN–BiLSTM with Attention and Explainable AI for Multi-Class Lung Disease Detection from Respiratory Sounds. Under Research!
      Python
      2000Updated Sep 23, 2025Sep 23, 2025
    • Jupyter Notebook
      MIT License
      1000Updated Jul 18, 2025Jul 18, 2025
    • This project presents a deep learning-based solution for brain tumor segmentation using multimodal MRI scans and U-Net architecture.
      Jupyter Notebook
      1000Updated Jun 12, 2025Jun 12, 2025
    • Jupyter Notebook
      1000Updated Jun 6, 2025Jun 6, 2025
    • Experimental code as part of Research Paper on Her2 breast cancer prediction using Transfer Learning Model, ResNet50.
      Jupyter Notebook
      1000Updated Jun 5, 2025Jun 5, 2025
    • A skin cancer, melanoma detection website integrated with Deep Learning Models and a complete database management system based on Flask Framework and SQLite
      HTML
      Apache License 2.0
      3000Updated May 22, 2025May 22, 2025
    • Multi-class HER2 IHC breast cancer classification using CNN and DenseNet121 with SHAP and Grad-CAM for model interpretability
      Jupyter Notebook
      1000Updated May 5, 2025May 5, 2025
    • Enhanced SegNet for interpretable retinal layer segmentation in OCT images using a hybrid loss and Grad-CAM for clinical trust.
      Python
      2000Updated Apr 30, 2025Apr 30, 2025
    • A project using LDA and BERTopic for topic modeling, sentiment analysis, and trend identification in social media.
      Jupyter Notebook
      1000Updated Mar 11, 2025Mar 11, 2025
    • Python
      1000Updated Mar 2, 2025Mar 2, 2025
    • Automated pneumonia diagnosis from chest X-rays using a custom CNN and transfer learning models (EfficientNetB0/B3).
      Jupyter Notebook
      2000Updated Feb 6, 2025Feb 6, 2025
    • This project applies deep learning techniques to detect brain tumors from MRI images. Using two advanced models, EfficientNetB0 and EfficientNetB3, this project…
      Python
      MIT License
      1000Updated Oct 9, 2024Oct 9, 2024
    • This project leverages machine learning to detect diabetes based on various health metrics like age, glucose levels, BMI, and more. It involves data preprocessi…
      Jupyter Notebook
      MIT License
      1000Updated Sep 16, 2024Sep 16, 2024
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