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nrishabh/README.md

Hello! 👋

I'm a CS grad student who wants to work on things he finds interesting - that’s it.

What do I find interesting? Machine learning models, computer vision applications, analytical techniques used to explore data from the James Webb Telescope, NLU systems used in call analysis, autoencoders used to find anomalies in jet particle data from CERN’s Large Hadron Collider, trends and patterns in healthcare, using AI for social impact - the list goes on.

Check out my projects and contributions below 👇!

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  1. poliastro poliastro Public

    Forked from poliastro/poliastro

    poliastro - 🚀 Astrodynamics in Python

    Python 1

  2. atlas-autoencoder atlas-autoencoder Public

    An autoencoder neural network was used to compress the four-momentum of jets (obtained from a sample of simulated particles) from 4 to 3 variables. This task was performed as an evaluation exercise…

    Jupyter Notebook

  3. AARC-Simple-Sign-Language-Interpreter AARC-Simple-Sign-Language-Interpreter Public

    A sign language interpreter that works on the basic principle of image preprocessing, KANE feature extraction and cosine distance matching.

    Python 1 3

  4. madaanpulkit/SageRef madaanpulkit/SageRef Public

    SageRef: Single Image Reflection Removal

    Jupyter Notebook 2