suman shekhar (@Sumanshekhar17)
github

Sumanshekhar17

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  • Stars
    star
    19
  • Global Rank 658,106 (Top 23 %)
  • Followers 9
  • Following 36
  • Registered about 4 years ago
  • Most used languages
    Jupyter Notebook
         77.8 %
    Cuda     11.1 %
    Fortran
         11.1 %
  • Location ๐Ÿ‡จ๐Ÿ‡ฆ Canada
  • Country Total Rank 16,214
  • Country Ranking
    Cuda     55
    Fortran
         76
    Jupyter Notebook
         1,293

Top repositories

1

Machine-Learning-Project

This is my first Machine learning project where I have used supervised learning to predict house prices.
Jupyter Notebook
2
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2

Wave-equation-

This repository consist of Fortran code where I have implemented several Numerical schemes to solve wave equation and checked their accuracy using Global spectral method. I have used parallel programming algorithms too in this code mostly MPI parallel algorithm.
Fortran
2
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3

Advanced-Scientific-Computing

This repository contain lectures of Machine Learning course
Jupyter Notebook
1
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4

Finite-Element-Analysis

This repository contain class material of Finite Analysis Analysis and python notebook for coding tutorials.
Jupyter Notebook
1
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5

Mixed-Layer-Plot-using-Xarray

This Python notebook consist a code that is used to calculate the Mixed layer depth in the ocean. It uses the simulation data that was obtained as netCDF file format from Oceananigans solver.
Jupyter Notebook
1
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6

Computational-Fluid-Dynamics-Examples

This repository consist of CFD related examples
Jupyter Notebook
1
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7

3rd-year-project

This repository consist of code to simulate lid driven cavity problem on GPU
Cuda
1
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8

Mixed-Layer-Plot

This python notebook is used to calculate Mixed layer depth in open ocean convection simulation that was simulated using Oceananigans.
Jupyter Notebook
1
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9

Numerical-Modeling-using-Julia

This repository consist of several notebook to demonstrate Numerical Methods using Julia
1
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10

Geophysical-Data-Analysis

This repository consist of some example to get started with python (examples and materials to begin with python is taken from Kristin Thyng's course on python in geosciences) and focus will be on the Geophysical Data Analysis course lectures, taught by Professor John Wilkin and Professor Bob Chant at Rutgers University.
Jupyter Notebook
1
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