Tittu Varghese Mathew's Projects
Materials for the pyMOR School 2022
Probability - The Science of Uncertainty and Data
A repository of ABAQUS FORTRAN subroutines
A Python implementation of the ADER-WENO method for solving hyperbolic systems of PDEs
Sandia National Laboratories' Albany multiphysics code
Efficient Matlab Implementation of Adaptive Mesh Refinement in 2D
Nonlinear Finite Element Code for structural applications with simplicity in mind.
The repository contains the R programming assignment codes as part of the online Data Analytics course from MIT
Advanced Simulation Library - hardware accelerated multiphysics simulation platform.
Lecture on Automated Machine Learning
An educational implementation of Bayesian optimization using Gaussian processes.
MATLAB codes to perform Non-Linear Kalman filtering and smoothing using particle filters
Home for the book-in-progress 'Bayesian Learning'
Bayesian Data Analysis course at Aalto
Codes for performing variational inference for Bayesian Inverse Problems that involve PDEs.
candi - (Compile & Install) - Downloads, configures, builds and installs deal.II
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
A collection of codes based on deal.II contributed by deal.II users
Computational geometry tools for the finite element method on overlapping meshes.
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
pfm-cracks: A Finite Element code for crack propagation
Course notes for CS228: Probabilistic Graphical Models.
Course on data assimilation (DA)
A ToolKit library for deal.II
Finite element simulation of a two-scale problem implemented in deal.II
An object-oriented C++ library for the generation of polygonal meshes
DistMesh - simple 2D and 3D mesh generator for MATLAB and Octave (with GUI support)
A deep-learning based workflow for subsurface data assimilation and prediction
A toolkit for making real world machine learning and data analysis applications in C++