Skip to content
View jmg764's full-sized avatar

Block or report jmg764

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. 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

Pinned Loading

  1. Attention-Based-Deep-Multiple-Instance-Learning Attention-Based-Deep-Multiple-Instance-Learning Public

    Constructed attention-based deep multiple instance learning model using PyTorch and trained on 624 whole slide images of digitized H&E-stained prostate biopsies using AWS SageMaker’s data paralleli…

    Jupyter Notebook 21 4

  2. Discovery-and-Development-of-a-Novel-Drug-to-Treat-Hypertrophic-Cardiomyopathy Discovery-and-Development-of-a-Novel-Drug-to-Treat-Hypertrophic-Cardiomyopathy Public

    50 page proposal for a potential new drug detailing disease pathology, currently available drugs, target identification, lead selection and optimization, as well as in vitro and in vivo efficacy an…

  3. Molecular-Scalar-Coupling-Constant-Prediction-using-SchNet Molecular-Scalar-Coupling-Constant-Prediction-using-SchNet Public

    This final project for the CS-GY-9223 Deep Learning course at NYU Tandon implements SchNet, based on the paper by Schütt et al., for prediction of molecular scalar coupling constants

    Jupyter Notebook 5 1

  4. Analysis-of-Accelerated-Gradient-Descent-with-Polyak-Step-Size-Using-Performance-Estimation-Toolbox Analysis-of-Accelerated-Gradient-Descent-with-Polyak-Step-Size-Using-Performance-Estimation-Toolbox Public

    This is the final project for CS-GY 9223D Algorithmic Machine Learning and Data Science at NYU Tandon: an advanced theory course exploring contemporary algorithmic techniques and recent research on…

    Jupyter Notebook

  5. Personality-Type-Prediction-Using-Multi-Label-Classification Personality-Type-Prediction-Using-Multi-Label-Classification Public

    Explores personality type prediction using several scikit-multilearn multi-label classifiers, LSTM, CNN, and BERT.

    Jupyter Notebook 6 2

  6. 3D-Model-Facial-Recognition 3D-Model-Facial-Recognition Public

    This final project for the CS-GY-6643 Computer Vision course at NYU Tandon explores the use of synthetic 2D images from 3D models for use in a 2D facial recognition system.

    Jupyter Notebook 1