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Neurojedi/README.md

Hi 👋, I'm Gorkem

Typing SVG

  • 🎓 I received my BSc in Molecular Biology and Genetics and I am in my last year of studies in Software Engineering where I double-major.
  • 🧠 My primary research focus lies in Neuroscience, where I leverage Machine Learning and Deep Learning to analyze Neural Manifolds/Spaces using connectome and image data. During my undergraduate years in Molecular Biology and Genetics, I extensively researched gene editing techniques for treating rare neurological diseases, specifically focusing on the development of novel lentiviral vectors to deliver CRISPR systems to neurons, with the goal of improving treatment options for individuals with these conditions.
  • 💻 Here I will be sharing my Machine Learning and Deep Learning notes as well as my projects for medical data analysis (generally neural data). Furthermore, my plan is also to share genomic data analysis and bioinformatics stuff.
  • ⚡ I love listening to AC/DC, Guns N' Roses, Halestorm, Nightwish, Kiss, Metallica, Black Sabbath, and Iron Maiden. Also I have a science history blog on Medium

🛠️ Favorite Tools:

Python MATLAB LaTeX Markdown

TensorFlow Keras PyTorch Sklearn

Numpy Pandas Scipy Plotly Matplotlib seaborn

Jupyter Pycharm SublimeText Colab

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  1. CNNs-Introduction CNNs-Introduction Public

    A series of notebooks that provides an in-depth introduction to Convolutional Neural Networks and the most common CNN architectures with hands-on practices.

    Jupyter Notebook 1

  2. Machine-Learning-Zero2Hero Machine-Learning-Zero2Hero Public

    A series of notebooks that introduce Machine Learning concepts with hands-on practice and its mathematics in brief.

    Jupyter Notebook 39 1

  3. Deep-Learning-Fundamentals-with-TensorFlow Deep-Learning-Fundamentals-with-TensorFlow Public

    A series of notebooks that introduce Fundamental Deep Learning concepts with hands-on practice using TensorFlow.

    Jupyter Notebook 3 1

  4. Biofunctions Biofunctions Public

    This repository contains Python implementations of bioinformatics algorithms, including several that are featured in the Rosalind problem set.

    Jupyter Notebook 3

  5. Brain-Tumor-Segmentation-using-3DUNet Brain-Tumor-Segmentation-using-3DUNet Public

    A work on segmenting brain tumors on BraTS Dataset using Pre-trained and Fully-trained 3D U-Nets with commonly used loss functions to assess the effect of loss function on generalization error.

    Jupyter Notebook 1

  6. Covid-Data-Analysis Covid-Data-Analysis Public

    A simple data visualization and analysis of Daily Covid data provided by John Hopkins University.

    Jupyter Notebook