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  1. Resilient Distributed Deep Neural Networks (RDDNNs). The Advanced Network Research Lab, UTD.

    Python 1 3

  2. Cross-platform UTD companion application using QT, QML, and C++. Tracks and displays locations of on-campus transportation system (Comet cabs).


  3. A chrome extension which detects if a tweet is likely to be published from a Russian troll or not. HackHarvard 2018.

    JavaScript 1

  4. Investigating margins in deep neural nets. Computing margins and attempting to expand them, thereby increasing "generalization" power.


  5. An app that tells you if what you're holding is recyclable. React-native, google computer vision api. EarthxHack 2018.

    JavaScript 2

  6. A method for digitally representing physical objects in (VIVE) VR to avoid user collisions and increase tracking area. Designed and implemented as part of the UTD FIVE Lab.


383 contributions in the last year

Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Mon Wed Fri
Activity overview
Contributed to sid-devic/rddnn, sid-devic/prog_recov, sid-devic/RuTroll and 5 other repositories

Contribution activity

March 2019

6 contributions in private repositories Mar 7 – Mar 20

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