Alternatives and similar repositories for HardConstraint

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

• martenlienen / generative-turbulence
  Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
  ☆26Updated 5 months ago
• merantix-momentum / gnn-bvp-solver
  Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"
  ☆20Updated last year
• kopanicakova / HINTS_precond
  This repository contains code, which was used to generate large-scale results in the HINTS paper.
  ☆30Updated 9 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆33Updated last year
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆38Updated 2 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 2 years ago
• anthonyzhou-1 / ldm_pdes
  ☆32Updated 3 weeks ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆15Updated 11 months ago
• holl- / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆33Updated 5 years ago
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆29Updated last year
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆14Updated 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
• rmojgani / PhysicsAwareAE
  The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…
  ☆19Updated 2 years ago
• kfxw / CFD_Mesh_Parameterization
  Codes for paper "Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning", published on AIAA Aviation F…
  ☆19Updated last year
• rsmath / dt-pinn
  Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations
  ☆27Updated 2 years ago
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆29Updated 2 years ago
• SmartTURB / diffusion-lagr
  Synthetic Lagrangian Turbulence by Generative Diffusion Models
  ☆25Updated 8 months ago
• woodssss / TL-PI-DeepONet
  ☆10Updated 2 years ago
• zheyuanhu01 / AugmentedPINN
  Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…
  ☆15Updated last year
• lu-group / pinn-thrombus-mri
  Transfer learning on physics-informed neural networks for tracking the hemodynamics in the evolving false lumen of dissected aorta
  ☆15Updated last year
• peterchencyc / CROM_online_deployment
  ☆15Updated 2 years ago
• delta-lab-ai / pde-controller
  ☆20Updated last month
• paulpuren / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆31Updated 3 years ago
• PredictiveIntelligenceLab / LOCA
  ☆15Updated last year
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• RizaXudayi / VarNet
  Variational Neural Networks for the Solution of Partial Differential Equations
  ☆8Updated 5 years ago
• stnamjef / SPINN
  [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks
  ☆77Updated last year
• rmojgani / LPINNs
  To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…
  ☆49Updated 2 years ago
• PredictiveIntelligenceLab / PDE-constrained-optimization-PI-DeepONet
  ☆14Updated 3 years ago
• tianjuxue / AmorFEA
  ☆13Updated 4 years ago