[go: up one dir, main page]

Skip to content
View Laknath1996's full-sized avatar
💫
Partly Real, Partly Virtual
💫
Partly Real, Partly Virtual

Block or report Laknath1996

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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.

Pinned Loading

  1. neurodata/prolearn neurodata/prolearn Public

    Prospective Learning: Learning for a Dynamic Future (NeurIPS 2024)

    Python 4

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

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

    Python 8

  3. gen-models gen-models Public

    Course project for EN.553.741 Machine Learning II at JHU. Implements Wasserstein GAN, variational autoencoder and denoising diffusion probabilistic models.

    Python

  4. semi-supervised-learning semi-supervised-learning Public

    Repository for the EN.553.738 High-Dimensional Approximation, Probability and Statistical Learning group project on graph-based semi-supervised learning

    MATLAB 1

  5. DeepPhaseUnwrap DeepPhaseUnwrap Public

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

    Python 36 5

  6. 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.

    Python 47 10