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Achievement: Pull Shark

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Achievement: Pull Shark

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@MATIBAI-ML

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ich-bin-tyrone/README.md

⚡️ Hola, ich bin Tyrone!

🧬👨🏻‍💻 Aspiring Bioinformatician and Computational Biologist
🎓🔢 Studied Mathematics at the University of the Philippines Diliman
🤖🔬 My research interests are: Computational Epigenetics, Computer Vision, and Deep Learning Theory
💭💡 Currently learning about Equivariant Neural Networks and other Learning Mechanics

💻 Tech Stack:

Keras LaTeX Python OPENCV R Matplotlib NumPy Pandas Plotly PyTorch scikit-learn TensorFlow Canva Figma

🛠️ Projects

🧪🧪 scRNA analyzer: web application for single-cell RNA sequencing data preprocessing, analysis, and dimensionality reduction using the Seurat, enabling users to upload, process, and explore their sequencing data through an intuitive, step-by-step interface.
Link: https://7w4750-tyrone-mariano.shinyapps.io/myapp/

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  1. DR.scRNAseq DR.scRNAseq Public

    Shiny app that performs various preprocessing and analysis on single-cell RNA sequencing data using the Seurat package

    R

  2. melanoma-cnn-tfk melanoma-cnn-tfk Public

    CNN model that classifies melanoma from benign moles using dermoscopic images

    Jupyter Notebook

  3. xray-cnn-tfk xray-cnn-tfk Public

    Flask web app that allows users to upload X-ray images and classify them into having COVID-19, Pneumonia, Tuberculosis, or normal

    Jupyter Notebook

  4. facedetect-vgg16-tfk facedetect-vgg16-tfk Public

    Face detection app using VGG16 as the base model

    Jupyter Notebook

  5. vae-tfk vae-tfk Public

    VAE-based model that generates image by interpolating between two image classes

    Jupyter Notebook