Alternatives and similar repositories for Point-DeepONet

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

• JinshuaiBai / PIRBN
  Physics-informed radial basis network
  ☆31Updated last year
• ncsa / GeomDeepONet
  A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…
  ☆18Updated last year
• YuanAHa / PIGNN
  ☆11Updated 8 months ago
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆25Updated 9 months ago
• anthonyzhou-1 / ldm_pdes
  ☆32Updated last month
• pengwei07 / AeroGTO
  AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
  ☆14Updated 3 weeks ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆20Updated 2 months ago
• youngkyu-kim / Gappy-AE
  ☆13Updated last year
• katarzynamichalowska / don-lstm
  DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks
  ☆10Updated 9 months ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆41Updated 5 months ago
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆29Updated 8 months ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆65Updated 3 months ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆47Updated last month
• PredictiveIntelligenceLab / cvit
  ☆43Updated 2 weeks ago
• stnamjef / SPINN
  [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks
  ☆77Updated last year
• BaratiLab / FGN
  Code repo for Fluid Graph Network
  ☆25Updated 3 years ago
• mosaic-group / inverse-dirichlet-pinn
  Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021
  ☆11Updated 3 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 6 years ago
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆37Updated 2 years ago
• sifanexisted / fundiff
  ☆20Updated 3 weeks ago
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆29Updated last year
• HaoZhongkai / GNOT
  ☆47Updated 2 years ago
• AI4Science-WestlakeU / wdno
  [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆38Updated last month
• rsmath / dt-pinn
  Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations
  ☆27Updated 2 years ago
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆29Updated 2 years ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆44Updated 4 months ago
• Jianxun-Wang / graphGalerkin
  Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
  ☆56Updated 3 years ago
• echowve / phygnnet
  Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"
  ☆47Updated 2 years ago
• sebastkm / hybrid-fem-nn
  ☆31Updated 2 years ago
• jx-wang-s-group / CoNFiLD
  Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence
  ☆50Updated 5 months ago