amkatrutsa / dmgLinks
Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf
☆19Updated 7 months ago
Alternatives and similar repositories for dmg
Users that are interested in dmg are comparing it to the libraries listed below
Sorting:
- ☆45Updated 3 years ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Updated 2 years ago
- ☆29Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- ☆15Updated 4 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆40Updated 5 months ago
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 4 months ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆19Updated 2 months ago
- ☆14Updated 6 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- Here you find the Spectral Operator Learning Under construcTION☆20Updated last year
- PyTorch-FEniCS interface☆103Updated 4 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆35Updated last year
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆75Updated last month
- ☆40Updated 2 years ago
- The MegaFlow2D dataset package☆23Updated 2 years ago
- ☆32Updated 3 years ago
- Spectral Methods in Python☆60Updated 7 months ago
- The algorithmic differentation tool pyadjoint and add-ons.☆115Updated last month
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Data-driven Geometric Multi-Grid solver for the discrete Poisson equation☆41Updated 3 years ago
- ☆17Updated last year
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆169Updated 3 years ago
- ☆10Updated 2 years ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆37Updated last year
- A Python library for training neural ODEs.☆26Updated 10 months ago