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JayRGopal/README.md

Hi there 👋! I'm Jay Gopal

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Applying artificial intelligence and computer vision to transform healthcare. Experienced software engineer with a diverse and ever-expanding toolbox (see details below).

Research interests: explainable AI (attribution-based and counterfactual methods for black-box & white-box models), machine learning for medicine (diagnosis, robotic surgery, and more), and computational neuroscience (comparing and contrasting deep neural networks with human vision, EEG analysis, and signal processing).

Let's connect! Feel free to email me at Jay_Gopal@Brown.edu, or connnect with me on LinkedIn!


🧰 Toolbox

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Popular repositories

  1. Explainable-Deep-Learning-Regularizer Explainable-Deep-Learning-Regularizer Public

    A more interpretable way to regularize convolutional neural networks (CNNs) during training

    Jupyter Notebook 3

  2. GlaucomaAI GlaucomaAI Public

    Automated diagnosis of glaucoma using machine learning

    Python 1 1

  3. Quantum-Error-Correction Quantum-Error-Correction Public

    Quantum Error Correction (QEC) is a critical step in implementing quantum computing at scale. We implement an algorithm and show it successfully reduces noise in various quantum circuits.

    Jupyter Notebook 1 1

  4. DLGenomicsProject DLGenomicsProject Public

    Project for CSCI 2952G: Deep Learning in Genomics

    Python 1

  5. CRAFT-pytorch CRAFT-pytorch Public

    Forked from clovaai/CRAFT-pytorch

    Official implementation of Character Region Awareness for Text Detection (CRAFT)

    Python

  6. importmpcr importmpcr Public

    Forked from mpcrlab/importmpcr

    Python