Ig-dolci

adj_timedependent

APPM2007-Optimisation-II

Course content and other materials for APPM2007 - Optimisation II

dolfin-adjoint

Automatic differentiation for FEniCS/Dolfin

FInAT

A smarter library of finite elements

FridayAfternoonMath

fTetWild

Fast Tetrahedral Meshing in the Wild

FWIDevito

Solver able to run FWI using Devito environment using different absorbing boundary conditions, multi-scale in frequency and Wavelets filters

Hopf_Control

Code for "Optimal control of Hopf bifurcations"

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

Nektar_sensitivity_stability

Ig-dolci/Nektar_sensitivity_stability

Ig-dolci/FWIDevito

Solver able to run FWI using Devito environment using different absorbing boundary conditions, multi-scale in frequency and Wavelets filters

Ig-dolci/adj_timedependent

Ig-dolci/APPM2007-Optimisation-II

Course content and other materials for APPM2007 - Optimisation II

Ig-dolci/dolfin-adjoint

Automatic differentiation for FEniCS/Dolfin

Ig-dolci/FInAT

A smarter library of finite elements

Ig-dolci/FridayAfternoonMath

Ig-dolci/fTetWild

Fast Tetrahedral Meshing in the Wild

Ig-dolci/Hopf_Control

Code for "Optimal control of Hopf bifurcations"

Ig-dolci/introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

Ig-dolci/neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”

Ig-dolci/notebooks

Tutorials for ICCS Cambridge

Ig-dolci/OperatorLearningAdjoint

Code associated with https://arxiv.org/abs/2401.17739

Ig-dolci/paper-fwi

Files of FWI Paper

Ig-dolci/pyadjoint_jrmaddison

The algorithmic differentation tool pyadjoint and add-ons.

Ig-dolci/simulations_worflows_did

Ig-dolci/spyro_meshes

Code to build mesh with SeismicMesh

Ig-dolci/test_new_adjoint_solver