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
BestieTemplate.jl
BestieTemplate.jl is a template focused on best practices for package development in Julia.
- best practices
- julia
- template
- Julia
speckcn2
SpeckleCn2Profiler revolutionizes satellite communication, combining SCIDAR and AI. By accurately estimating turbulence strength and refining signals, it ensures reliable performance in any environment. Dive into our repository and join the quest to transform optical links.
- Scientific machine learning
- Python
- Nix
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