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yanyanh5945/README.md

Hi there πŸ‘‹, 😁

Hello, my name is Yanyan Hu and I am pursuing my Ph.D. degree in Electrical Engineering, in Department of Electrical and Computer Engineering at University of Houston. My Ph.D. research focuses on deep learning techniques for electromagnetic forward and inverse modeling, as well as geophysical joint imaging. My internships further honed my expertise in machine learning, data science, and E-Commerce guidance.

  • πŸ”­ I'm currently working on deep perceptual losses for multi-physics joint imaging
  • πŸ’¬ Ask me about deep learning, CNN, RNN, GNN and joint inversion theory
  • 🌱 I’m currently learning Generative AI, Large Language Models (LLMs), Diffusion Models

Languages and Tools:

Python Matlab PyTorch TensorFlow GitHub Latex

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  1. yanyanh5945.github.io yanyanh5945.github.io Public

    HTML

  2. brats_segmentation-pytorch brats_segmentation-pytorch Public

    Forked from doublechenching/brats_segmentation-pytorch

    3d unet + vae, repoduce brats2018 winner solution

    Python

  3. hed hed Public

    Forked from meteorshowers/hed

    pytorch code for Holistically-Nested Edge Detection

    Python

  4. 3D-MRI-brain-tumor-segmentation-using-autoencoder-regularization 3D-MRI-brain-tumor-segmentation-using-autoencoder-regularization Public

    Forked from sinclairjang/3D-MRI-brain-tumor-segmentation-using-autoencoder-regularization

    Pytorch implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. [https://arxiv.org/abs/1810.11654]

    Jupyter Notebook