Luisa Fernanda Orozco
GrainLearning
Unsure about the parameters of your grains in a computer simulation? Use Iterative Bayesian Filtering to learn parameter distributions from limited data. Is your model running slowly? Speed up your simulations with machine-learning surrogates. All these features are integrated within GrainLearning.
- Bayesian Inference
- Data assimilation
- Machine learning
- + 2
- Jupyter Notebook
- Python
- PureBasic
- + 1
open-DARTS
Open Delft Advanced Research Terra Simulator is a simulation framework for forward and inverse modelling and uncertainty quantification of multi-physics (thermo-hydro-mechanical-chemical) processes in geo-engineering applications as geothermal, CO2 sequestration, water pumping, and hydrogen storage.
- energy transition
- environmental modelling
- geothermal
- + 3
- Python
- C++
- Cuda
- + 2
IncompressibleNavierStokes
This package implements energy-conserving solvers for the incompressible Navier-Stokes equations on a staggered Cartesian grid. It is based on the Matlab package INS2D/INS3D. The simulations can be run on the single/multithreaded CPUs or Nvidia GPUs.
- HPC
- Scientific machine learning
- Julia
- Shell
BestieTemplate.jl
BestieTemplate.jl is a template focused on best practices for package development in Julia.
- best practices
- julia
- template
- Julia
CoupledNODE
CoupledNODE.jl is a SciML repository that extends NODEs (Neural Ordinary Differential Equations) to C-NODEs (Coupled Neural ODEs), providing a data-driven approach to modelling solutions for multiscale systems when exact solutions are not feasible.
- Julia Language
- Julia Package
- Machine learning
- + 1
- Julia
- Shell