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Laknath1996/README.md

Hello there!

I am a PhD candidate in the Department of Biomedical Engineering at Johns Hopkins University. I broadly work on {statistical, deep} learning, with an aspiration of reducing the gap between machine and natural intelligence. My doctoral research focuses on learning under non-stationary distributions and distribution shifts, with applications in large language models, computer vision, and biomedical data science.

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  1. neurodata/value-of-ood-data neurodata/value-of-ood-data Public

    The value of out-of-distribution data (ICML 2023)

    Jupyter Notebook 8

  2. DeepPhaseUnwrap DeepPhaseUnwrap Public

    This repository Introduces a joint convolutional and spatial quad-directional LSTM (SQD-LSTM) network for phase unwrapping in 2D images.

    Jupyter Notebook 30 6

  3. sEMG-Hand-Gesture-Recognition sEMG-Hand-Gesture-Recognition Public

    The source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface electromyography (sEMG) signals.

    Jupyter Notebook 46 10

  4. Schrodinger-Equation-Simulation Schrodinger-Equation-Simulation Public

    Includes the codes used for simulating the Schrödinger's Wave Equation in 1D, 2D and 3D potential wells.

    MATLAB 5 2

  5. PPG-Pulse-Meter PPG-Pulse-Meter Public

    The Real Time Photoplethysmographic Non - Invasive Pulse Meter was developed by Ashwin de Silva and Sachini Hewage, initially for the EXMO'2017 at the University of Moratuwa. The hardware component…

    Processing 2

  6. DeepRetina DeepRetina Public

    Work on retinal and scleral image understanding (in progress)

    Python 1 1