Parikshit Bajpai's Projects
This repository contains the presentation for my PhD Candidacy Examination for Modelling and Computational Science program at Ontario Tech University, Canada.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
libMesh github repository
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
Mesoscale Atomistic Glue Program for Integrated Execution
Animation engine for explanatory math videos
Multiphysics Object Oriented Simulation Environment
My implementation of the MOOSE Workshop example
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
Numerical Analysis Codes and Reports
:floppy_disk: C++ & Python API for Scientific I/O
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Config files for my GitHub profile.
Personal website
Volume limiter for MacOS
PhD Dissertation submitted to Ontario Tech University
A differentiable PDE solving framework for machine learning
Physics-Informed Neural networks for Advanced modeling
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.
Kolmogorov Arnold Networks
Python for Reactor Kinetics
:small_red_triangle: Ternary plotting library for python with matplotlib
Repository to keep track of some scripts I use seldomly but might need them again
Performance portable equations of state and mixed cell closures