Alternatives and similar repositories for Physics-informed-Neural-Foundation-Operator

Users that are interested in Physics-informed-Neural-Foundation-Operator are comparing it to the libraries listed below

• M3RG-IITD / cod-bench
  We present cod-bench containing 12 operators and 10 datasets.
  ☆11Updated last year
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆75Updated 8 months ago
• PPhub-hy / torch-local-neural-operators
  ☆11Updated last year
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆30Updated 3 years ago
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆24Updated last year
• lu-group / deeponet-extrapolation
  Reliable extrapolation of deep neural operators informed by physics or sparse observations
  ☆28Updated 2 years ago
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆25Updated 2 years ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆49Updated 10 months ago
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆59Updated 7 months ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆43Updated 3 years ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆69Updated last month
• 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
• mroberto166 / nio
  ☆41Updated 2 years ago
• 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
• anthonyzhou-1 / ldm_pdes
  ☆37Updated 6 months ago
• LouisSerrano / coral
  ☆39Updated last year
• gegewen / nested-fno
  ☆40Updated last year
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆33Updated 2 years ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 3 years ago
• ncsa / GeomDeepONet
  A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…
  ☆23Updated last year
• delta-lab-ai / pde-controller
  ☆25Updated 7 months ago
• BaratiLab / OFormer
  ☆89Updated last year
• katarzynamichalowska / don-lstm
  DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks
  ☆11Updated 4 months ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆25Updated 7 months ago
• fpichi / gca-rom
  GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
  ☆36Updated 2 months ago
• junjun-yan / ST-PINN
  A Self-Training Physics-Informed Neural Network for Partial Differential Equations
  ☆22Updated 2 years ago
• Zhengyu-Huang / Operator-Learning
  ☆45Updated 3 years ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 10 months ago
• SuihongSong / Physics-informed_multi-grid_neural_operator
  ☆24Updated 2 years ago