Vignesh Gopakumar's Projects
Fourier Neural Operator Modelling for Multi-Blob Diffusion within a Reduced MHD case built using JOREK
Experiments with FNO and its variants over MHD and Navier-Stokes Modelling
Simple Implementation of many GAN models with PyTorch.
Storage and Viewing space for plots showcasing the Latent Gradient Model for Neural PDE surrogates.
This repository contains the code for reproducing the results in the paper "Loss Landscape Engineering via Data Regulation on PINNs"
Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
Neural Weather Prediction for Limited Area Modeling
AutoDiff based PDE solver built on TensorFlow 1.x framework
Extending the PlasmaPINNs work done by Abhilash Mathews to PyTorch
Notebooks documenting PINNs showcased for PyTorch Ecosystem Day
Benchmarking several configurations and hyper-parameters for deploying Neural PDE solvers using Pytorch. Fully integrated with wandb.
Testing our Regression Fits with Reconstruction Error using Different Approaches
Notebook demonstrating the data retrieval capabilities of simvue using the client API
Surrogate based optimisation tools to be deployed for Simvue
Testing out the logging, model building and inference features of simvue
Agent Based Modelling using the Mesa Framework to study the dynamics of the virus spread and the impacts of various social distancing policies.
Exploring various UQ methods for spatio-temporal data
Autodiff based PDE solver implemented on the Tensorflow 2.x API. Package distribution is under the MIT License.