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  1. Forked from apache/madlib

    Summer Internship 2018: Created ML/deep learning algorithms for large distributed datasets, along with associated utility functions, to enable parallel model training atop Pivotal's Greenplum database

    C++

  2. Forked from varunsathyan/medical-billing

    TreeHacks 2018: App to determine the fair price of a medical procedure from a natural plain text description of the operation. Medical language parsing in Java, Python price scraper, Node.js web app

    Python

  3. Forked from callaunchpad/objectTracking

    Launchpad Spring 2018 Project: Devised novel object tracking algorithms for path prediction of moving objects using YOLOnet v3, nearest neighbor clustering, regression techniques, LSTM models, OpenCV

    Jupyter Notebook

  4. Placing the latest news on an interactive map, to visualize current events. Developed 2015-16 in collab. w/ the BCP App Dev Club & Geography for Tomorrow. Fully responsive PHP web-mobile app, iOS app

    PHP

  5. Exploring strategies to intelligently and efficiently train deep learning models on distributed datasets in parallel, merge/ensemble the results, and perform prediction on a test set. Inspired by m…

    Python 2 1

  6. Forked from callaunchpad/DangerSense

    Launchpad Fall 2018 Project: Detecting and responding to dangerous driving scenarios using deep CNN object detection/tracking, LSTM path prediction, & deep reinforcement learning; served as project…

    Python

508 contributions in the last year

May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Mon Wed Fri

Contribution activity

May 2019

2 contributions in private repositories May 5 – May 7

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