Sudhi Sharma
sudhipv
AI Educator and Consultant with expertise in Machine Learning | Deep Neural Networks | Uncertainty Quantification | HPC | Bayesian Inference
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Top Repositories
Contains several MATLAB codes to run forward UQ using intrusive (stochastic Galerkin finite element method) or non-intrusive (sampling/quadrature), Karhunen-Loeve expansion etc.
Linear and Nonlinear Poisson problems with diffusion coefficient modelled as random process solved using multilevel domain decomposition-based methods.
A scalable domain decomposition-based architecture for propagating uncertainty through 2D and 3D PDE models.
A stochastic PDE solver utilizing parallel solvers with domain decomposition.
Several MATLAB implementations of domain decomposition algorithms.
Repositories
25A scalable domain decomposition-based architecture for propagating uncertainty through 2D and 3D PDE models.
A stochastic PDE solver utilizing parallel solvers with domain decomposition.
Several MATLAB implementations of domain decomposition algorithms.
A parallel solver using two-level domain decomposition for steady advection-diffusion problem.
Multiple MATLAB implementations for 1D and 2D acoustic wave propagation with random parameters.
Stochastic finite element method for 2D Poisson and 3D Elasticity problems.
Comprehensive python scripts to compare the non-intrusive sparse quadrature and Monte Carlo simulation for acoustic wave propagation.
A set of jupyter notebooks to test out a manufactured solution for PDEs using symbolic differentiation
Contains several MATLAB codes to run forward UQ using intrusive (stochastic Galerkin finite element method) or non-intrusive (sampling/quadrature), Karhunen-Loeve expansion etc.
Contains several MATLAB codes to compute polynomial chaos coefficients of log-normal random variables and processes
Codes for running deterministic and stochastic scalability studies for linear and nonlinear PDEs
Contains codes to compute the stochastic response of a PDE-based compartmental model of COVID-19 with random diffusion coefficients
The main repository with codes for the coupled compartmental models with mobility.
Contains python/jupyter notebook codes for data assimilation algorithms such as Kalman filter, Ensemble Kalman filter etc.
No description provided.
Contains Bayesian inference and prediction for compartmental model of COVID-19 using a sum of sigmoid model of infection rate
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This repository is related to storing all the documents related to the project " Computational Modelling of Real World Problems Using DRI and Community Outreach"
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Contains the codes used for the Carleton hands on workshop "Unlocking supercomputers".
Linear and Nonlinear Poisson problems with diffusion coefficient modelled as random process solved using multilevel domain decomposition-based methods.
COVID-19 evolution using FreeFEM++
This repository contains notebooks and python codes for sequential calibration of compartmental models, starting from manual tuning, maximum likelihood estimates and full Bayesian inference using Markov chain Monte Carlo sampling
This the repository which contains the slides of the presentation done on Aug 21st to Ministry of Health.
This is the repository to save all the presented slides and related files for all conferences.