Learning in infinite dimension with neural operators.
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Updated
Jun 21, 2024 - Python
Learning in infinite dimension with neural operators.
A Physics-Informed Neural Network to solve 2D steady-state heat equations.
Generative Pre-Trained Physics-Informed Neural Networks Implementation
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Official PyTorch implementation of the Vectorized Conditional Neural Field.
Interactive ocean simulations in a web browser
DuMux: an open-source simulator for flow and transport processes in porous media (repository mirrored from https://git.iws.uni-stuttgart.de/dumux-repositories/dumux.git)
Scientific Learning Project for the Monodomain Equation
Next generation FEniCS problem solving environment
pySDC is a Python implementation of the spectral deferred correction (SDC) approach and its flavors, esp. the multilevel extension MLSDC and PFASST.
FiPy is a Finite Volume PDE solver written in Python
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
Graph Feedforward Networks: a resolution-invariant generalisation of feedforward networks for graphical data, applied to model order reduction
🔍 finite element analysis for continuum mechanics of solid bodies
Finite Element tools in Julia
FreeFEM source code
Finite element toolbox for Julia
A C++ Finite Element Analysis software based on the Jem-Jive library
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
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