A library for scientific machine learning and physics-informed learning
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 automated transformations of differential equations
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Physics-Informed Neural networks for Advanced modeling
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.
FEATool Multiphysics - "Physics Simulation Made Easy" (Fully Integrated FEA, FEniCS, OpenFOAM, SU2 Solver GUI & Engineering CAE Simulation Platform)
Perfect for developers seeking a single, unified environment for web development, backend systems, mobile apps, and competitive programming.
IDE for creating and running Processing sketches on Android devices
A Julia package to perform Bifurcation Analysis
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Castro (Compressible Astrophysics): An adaptive mesh, astrophysical compressible (radiation-, magneto-) hydrodynamics simulation code for massively parallel CPU and GPU architectures.
A framework for hydrodynamics explorations and prototyping
TCAD Semiconductor Device Simulator
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
This repository containts materials for End-to-End AI for Science
BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems