gridap / Gridap.jl
Grid-based approximation of partial differential equations in Julia
☆760Updated this week
Alternatives and similar repositories for Gridap.jl:
Users that are interested in Gridap.jl are comparing it to the libraries listed below
- Finite element toolbox for Julia☆368Updated last week
- A Julia package to perform Bifurcation Analysis☆326Updated this week
- High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differ…☆583Updated this week
- Survey of the packages of the Julia ecosystem for solving partial differential equations☆273Updated 3 months ago
- Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia☆582Updated this week
- Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learnin…☆889Updated last week
- Julia package for function approximation☆550Updated last week
- GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem☆297Updated last week
- Computational geometry in Julia☆421Updated 2 weeks ago
- Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization☆415Updated last month
- Fast and simple fluid simulator in Julia☆678Updated this week
- Forward Mode Automatic Differentiation for Julia☆925Updated this week
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆732Updated 11 months ago
- Linear operators for discretizations of differential equations and scientific machine learning (SciML)☆282Updated last year
- Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonl…☆768Updated this week
- A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, …☆348Updated last week
- Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem☆289Updated 3 weeks ago
- Elegant and Performant Scientific Machine Learning in Julia☆565Updated this week
- A Julia Basket of Hand-Picked Krylov Methods☆395Updated this week
- Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method☆245Updated this week
- The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of…☆263Updated last year
- Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary pre…☆497Updated last month
- Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs☆339Updated 3 weeks ago
- An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for …☆1,503Updated this week
- The perfect sidekick to your scientific inquiries☆855Updated 4 months ago
- Statically sized arrays for Julia☆799Updated last month
- Iterative algorithms for solving linear systems, eigensystems, and singular value problems☆414Updated 5 months ago
- Fast, continuous interpolation of discrete datasets in Julia☆549Updated this week
- Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax),…☆328Updated this week
- Award winning software library for nonlinear dynamics and nonlinear timeseries analysis☆875Updated 4 months ago