#学习与技能提升#Source code for the Processing Core and Development Environment (PDE)
翻译 - 处理核心和开发环境（PDE）的源代码
#计算机科学#A library for scientific machine learning and physics-informed learning
Learning in infinite dimension with neural operators.
翻译 - 使用傅立叶变换学习微分方程中的算子。
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and ...
#计算机科学#Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Python package for numerical derivatives and partial differential equations in any number of dimensions.
#计算机科学#Physics-Informed Neural networks for Advanced modeling
FEATool - "Physics Simulation Made Easy" (Fully Integrated FEA, FEniCS, OpenFOAM, SU2 Solver GUI & Multi-Physics Simulation Platform)
#安卓#Source code for APDE: Create and run Processing sketches on an Android device.
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
A framework for hydrodynamics explorations and prototyping
Castro (Compressible Astrophysics): An adaptive mesh, astrophysical compressible (radiation-, magneto-) hydrodynamics simulation code for massively parallel CPU and GPU architectures.
Generalized and Personalized
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
#计算机科学#DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems