Alternatives and similar repositories for Learning-to-optimize-multigrid-solvers

Users that are interested in Learning-to-optimize-multigrid-solvers are comparing it to the libraries listed below

• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆40Updated 3 years ago
• Zhengyu-Huang / Operator-Learning
  ☆45Updated 3 years ago
• amkatrutsa / dmg
  Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf
  ☆19Updated 8 months ago
• brekmeuris / DrMZ.jl
  Deep renormalized Mori-Zwanzig (DrMZ) Julia package.
  ☆17Updated 2 years ago
• PredictiveIntelligenceLab / LOCA
  ☆15Updated 2 years ago
• PredictiveIntelligenceLab / PDE-constrained-optimization-PI-DeepONet
  ☆15Updated 4 years ago
• LeungSamWai / Finite-expression-method
  ☆20Updated 3 months ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆37Updated 3 years ago
• merantix-momentum / gnn-bvp-solver
  Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"
  ☆19Updated last year
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆34Updated 3 years ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆29Updated last year
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆41Updated 2 years ago
• panchgonzalez / nmor
  Deep learning framework for model reduction of dynamical systems
  ☆21Updated 5 years ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆19Updated last year
• yifanc96 / NonLinPDEs-GPsolver
  Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
  ☆40Updated 6 months ago
• neuraloperator / cond-diffusion-operators-edm
  ☆19Updated last year
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆39Updated last year
• liu-ziyuan-math / spectral_operator_learning
  Here you find the Spectral Operator Learning Under construcTION
  ☆20Updated last year
• slimgroup / dfno
  Distributed Fourier Neural Operators
  ☆32Updated 3 years ago
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated last year
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆71Updated 2 years ago
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆27Updated 5 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆42Updated 5 years ago
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆17Updated 2 years ago
• VLSF / SNO
  Spectral Neural Operator
  ☆79Updated 2 years ago
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 4 years ago
• quercushernandez / StructurePreservingNN
  Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).
  ☆19Updated 2 years ago
• luckystarufo / MrCAE
  a multiresolution convolutional autoencoder architecture
  ☆23Updated 4 years ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆53Updated last year
• CMSL-HKUST / AmorFEA
  ☆13Updated 4 years ago