rsmath (Ramansh Sharma) · GitHub
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Pursuing the magical field of Deep Learning
:octocat:
Pursuing the magical field of Deep Learning
143 followers · 196 following

Achievements

Achievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Achievements

Achievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Highlights

  • Pro

Organizations

@fnplus @CARLresearch @wri-dssg-omdena

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rsmath/README.md

𝕲𝖗𝖊𝖊𝖙𝖎𝖓𝖌𝖘, 𝕴 𝖆𝖒 𝕽𝖆𝖒

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 the first time - check out the photos here.

Contact

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

kushalbhanot   

Pinned Loading

  1. ShankarLab/dt-pinn ShankarLab/dt-pinn Public

    Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations

    Python 34 8

  2. ShankarLab/ensemble-deeponet ShankarLab/ensemble-deeponet Public

    Ensemble and Mixture-of-Experts DeepONets for Operator Learning

    Python

  3. wri-dssg-omdena/policy-data-analyzer wri-dssg-omdena/policy-data-analyzer Public

    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 36 8

  4. Predicting-Dumpsites Predicting-Dumpsites Public

    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 8

  5. Flight-Price Flight-Price Public

    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-Recognizer Digit-Recognizer Public

    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 11 6