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coreprinciple6/README.md

Header

This is IJ

I'm a Computer Science graduate from Illinois Tech, specializing in Deep Learning and Responsible AI. Currently Im exploring Generative AI to build personal assistants. I mainly work with python and am a computational art enthusiast. To discuss cattos and more, feel free to reach out to [email protected] or tap .

Some tools Im familiar with are:

For Wev Developement I have used:

Devices and OS

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  1. Few-Shot-Learning Few-Shot-Learning Public

    Few Shot Learning is the next generation class of algorithms being researched currently for object categorization tasks in Computer vision with unseen data and without pre-training.

    Jupyter Notebook 3

  2. Navigation-Assistant-Final Navigation-Assistant-Final Public

    Forked from Namerlight/Navigation-Assistant-Final

    Navigational Assistance for the Visually Impaired (Project for CSE499 Senior Design). Uses a phone camera and a semantic segmentation algorithm to detect obstacles and alert the user.

    Java

  3. Acoustic-Scene-Classification Acoustic-Scene-Classification Public

    Acoustic Scene Classification using CNN

    Jupyter Notebook 1 1

  4. RetinaFace-for-Face-Detection RetinaFace-for-Face-Detection Public

    Retinaface is a single stage dense face detection model.

    Python

  5. Arcface-for-Face-Recognition Arcface-for-Face-Recognition Public

    ArcFace is an open source SOTA model for facial recognition. It has shown outstanding performance of 99.82% accuracy in LFW dataset.

    Jupyter Notebook 1