Alternatives and similar repositories for TL-PI-DeepONet

Users that are interested in TL-PI-DeepONet are comparing it to the libraries listed below

• katarzynamichalowska / don-lstm
  DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks
  ☆11Updated 4 months ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• alirezaafzalaghaei / PINN-tutorial
  A minimal implementation of Physics-Informed Neural Networks (PINNs) in PyTorch
  ☆21Updated 2 years ago
• 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 7 years ago
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆30Updated 3 years ago
• PredictiveIntelligenceLab / PDE-constrained-optimization-PI-DeepONet
  ☆15Updated 4 years ago
• NicolaRFranco / dlroms
  ☆13Updated 2 weeks ago
• anthonyzhou-1 / ldm_pdes
  ☆36Updated 6 months ago
• youngkyu-kim / Gappy-AE
  ☆13Updated last year
• cmudrc / FlowDataGeneration
  ☆14Updated last year
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 3 years ago
• PredictiveIntelligenceLab / UQDeepONet
  ☆10Updated 2 years ago
• PPhub-hy / torch-local-neural-operators
  ☆11Updated last year
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆19Updated last year
• Ali-Stanford / PhysicsInformedPointNetElasticity
  Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…
  ☆12Updated last year
• arkadaw9 / PID-GAN
  ☆23Updated 4 years ago
• mosaic-group / inverse-dirichlet-pinn
  Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021
  ☆14Updated 4 years ago
• csccm-iitd / VB-DeepONet
  ☆13Updated 3 years ago
• zheyuanhu01 / AugmentedPINN
  Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…
  ☆16Updated 2 years ago
• SuihongSong / Physics-informed_multi-grid_neural_operator
  ☆24Updated 2 years ago
• JinshuaiBai / PIRBN
  Physics-informed radial basis network
  ☆36Updated last year
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆25Updated 2 years ago
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆44Updated 3 years ago
• sciserver / giverny
  library for querying the Johns Hopkins Turbulence Database (JHTDB)
  ☆22Updated 3 weeks ago
• vivekoommen / NPJCOMPUMATS-03747
  Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  ☆26Updated last year
• PredictiveIntelligenceLab / LOCA
  ☆15Updated 2 years ago
• lmandl / separable-PI-DeepONet
  Separabale Physics-Informed DeepONets in JAX
  ☆21Updated last year
• cmudrc / MegaFlow2D
  The MegaFlow2D dataset package
  ☆23Updated 2 years ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆76Updated 2 years ago
• rsmath / dt-pinn
  Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations
  ☆32Updated 2 years ago