Alternatives and similar repositories for NeurVec

Users that are interested in NeurVec are comparing it to the libraries listed below

• LeungSamWai / Finite-expression-method
  ☆21Updated 2 years ago
• computational-imaging / GraphPDE
  ☆52Updated 3 years ago
• martenlienen / generative-turbulence
  Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
  ☆27Updated 6 months ago
• locuslab / cfd-gcn
  ☆126Updated 2 years ago
• junbinhuang / DeepRitz
  Implementation of the Deep Ritz method and the Deep Galerkin method
  ☆58Updated 5 years ago
• YuntianChen / Hard_constraint_projection_HCP
  Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
  ☆62Updated 3 years ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆28Updated last year
• dc3042 / CROM_offline_training
  ☆24Updated 2 years ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆40Updated last year
• stnamjef / SPINN
  [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks
  ☆78Updated last year
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆57Updated 6 months ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆73Updated 2 years ago
• wukekever / DGM-and-DRM
  PINN, DGM and DRM
  ☆20Updated 2 years ago
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 4 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆27Updated 3 years ago
• alasdairtran / fourierflow
  [ICLR 2023] Factorized Fourier Neural Operators
  ☆173Updated last year
• ZeyuJia / DeepRitzMethod
  Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and imp…
  ☆44Updated 7 years ago
• delta-lab-ai / pde-controller
  ☆22Updated 2 months ago
• peterchencyc / CROM_online_deployment
  ☆15Updated 2 years ago
• AmeyaJagtap / Locally-Adaptive-Activation-Functions-Neural-Networks-
  Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…
  ☆41Updated 2 years ago
• BaratiLab / OFormer
  ☆84Updated last year
• pehersto / ng
  Neural Galerkin
  ☆16Updated last year
• jcallaham / robust-flow-reconstruction
  Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…
  ☆14Updated 6 years ago
• vc-bonn / Unsupervised_Deep_Learning_of_Incompressible_Fluid_Dynamics
  ☆97Updated 7 months ago
• cics-nd / pde-surrogate
  Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
  ☆150Updated 5 years ago
• xiaoyuxie-vico / Awesome-ML-PDE
  Resources about Machine Learning for solving PDEs.
  ☆58Updated 2 years ago
• sebastkm / hybrid-fem-nn
  ☆32Updated 3 years ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆39Updated 2 years ago
• vc-bonn / Teaching_Incompressible_Fluid_Dynamics_to_3D_CNNs
  ☆61Updated 5 months ago
• PKU-CMEGroup / AERO-Tutorial
  ☆20Updated last week