DedalusProject / dedalusLinks
A flexible framework for solving PDEs with modern spectral methods.
☆605Updated 2 weeks ago
Alternatives and similar repositories for dedalus
Users that are interested in dedalus are comparing it to the libraries listed below
Sorting:
- Python package for solving partial differential equations using finite differences.☆445Updated last week
- Differentiable Fluid Dynamics Package☆460Updated 2 months ago
- Spectral Navier Stokes (and similar) solvers in Python☆336Updated 2 years ago
- High performance computational platform in Python for the spectral Galerkin method☆221Updated last month
- Python package for numerical derivatives and partial differential equations in any number of dimensions.☆483Updated last month
- Computational Fluid Dynamics in JAX☆879Updated last week
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆155Updated 8 months ago
- ☆194Updated 4 years ago
- Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)☆600Updated this week
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆764Updated 2 months ago
- Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods☆223Updated last week
- ☆262Updated 2 years ago
- Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization☆579Updated last month
- Automatic Differentiation Library for Computational and Mathematical Engineering☆304Updated last year
- Additive manufacturing simulation with JAX.☆323Updated 3 months ago
- Differentiable Finite Element Method with JAX☆496Updated last week
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆313Updated last year
- Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method☆257Updated last month
- Lecture material on numerical methods for partial differential equations.☆278Updated 4 years ago
- Simple finite element assemblers☆589Updated this week
- pyMOR - Model Order Reduction with Python☆328Updated this week
- Physics-Informed Neural networks for Advanced modeling☆574Updated last week
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆405Updated last week
- A framework for hydrodynamics explorations and prototyping☆327Updated last month
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆457Updated 3 months ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,125Updated this week
- Deep learning for Engineers - Physics Informed Deep Learning☆350Updated last year
- Using graph network to solve PDEs☆416Updated 4 months ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆279Updated 3 years ago
- Code for "Learning data-driven discretizations for partial differential equations"☆169Updated last month