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@rsmath
rsmath
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:octocat:
Pursuing the magical field of Deep Learning

Ramansh Sharma rsmath

:octocat:
Pursuing the magical field of Deep Learning
PhD student at the Kahlert School of Computing at University of Utah. PINNs are cool.

Highlights

  • Pro

Organizations

@fnplus@CARLresearch@wri-dssg-omdena

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rsmath/README.md

Fully commited to Navier-Stokes and Fluid Dynamics

Fun fact: In 2018, I was the captain of the The Bronx High School of Science Boys Varsity Badminton team when we won the city championship for thefirst time - check out the photoshere.

Contact

see my email on the side but here's LinkedIn too

kushalbhanot   

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  1. dt-pinndt-pinnPublic

    Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations

    Python 25 7

  2. wri-dssg-omdena/policy-data-analyzerwri-dssg-omdena/policy-data-analyzerPublic

    Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible…

    Jupyter Notebook 35 8

  3. Predicting-DumpsitesPredicting-DumpsitesPublic

    Using Machine Learning to predict potential illegal dumpsites around the world based on socio-economic, environmental, and geospatial features. Series of experiments conducted with Neural Networks

    Jupyter Notebook 7

  4. Alternate-RealityAlternate-RealityPublic

    Recurrent Neural Networks will allow me to sample new text (essays, poems, emails) that I would have hypothetically written in New York given my four years of corpus literature as training data

    Jupyter Notebook 4 2

  5. Flight-PriceFlight-PricePublic

    A flight price estimator made with TensorFlow and Keras for the mia startup. Trained on numerous continuous and categorical variables. Ensemble neural network with Embedding layers

    Jupyter Notebook 8

  6. Digit-RecognizerDigit-RecognizerPublic

    A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented

    Python 13 6


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