Source code for the Processing Core and Development Environment (PDE)
Multi-language suite for high-performance solvers of differential equati...
A library for scientific machine learning and physics-informed learning
An acausal modeling framework for automatically parallelized scientific ...
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differentia...
Tutorials for doing scientific machine learning (SciML) and high-perform...
Simple finite element assemblers
Python package for numerical derivatives and partial differential equati...
Source code for APDE: Create and run Processing sketches on an Android d...
FEATool - "Physics Simulation Made Easy" (Fully Integrated FEA, FEniCS...
The lightweight Base library for shared types and functionality for defi...
Scientific machine learning (SciML) benchmarks, AI for science, and (dif...
A framework for hydrodynamics explorations and prototyping
Linear operators for discretizations of differential equations and scien...
Castro (Compressible Astrophysics): An adaptive mesh, astrophysical comp...