Alternatives and similar repositories for DeepONet_Pytorch_Demo

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

• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆20Updated 2 years ago
• NicolaRFranco / dlroms
  ☆11Updated 2 weeks ago
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆28Updated last year
• bilzinet / pifno
  Physics Informed Fourier Neural Operator
  ☆21Updated 6 months ago
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆29Updated 2 years ago
• shamsbasir / investigating_mitigating_failure_modes_in_pinns
  This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…
  ☆18Updated last year
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆19Updated last year
• vivekoommen / NPJCOMPUMATS-03747
  Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  ☆23Updated last year
• 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
• mroberto166 / nio
  ☆32Updated last year
• Jasiuk-Research-Group / S-DeepONet
  A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…
  ☆14Updated last year
• GideonIlung / DeepONet
  Implementation of the deep operator network in pytorch, with examples of solving Differential Equations
  ☆12Updated last year
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆53Updated 2 years ago
• pkmtum / Semi-supervised_Invertible_Neural_Operators
  Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
  ☆13Updated last year
• lu-group / deeponet-extrapolation
  DeepONet extrapolation
  ☆27Updated 2 years ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆20Updated this week
• Hrrsmjd / fourier_neural_operator
  Fourier Neural Operator
  ☆12Updated 2 years ago
• RiverFlowsInYou98 / DeepONet_pytorch
  ☆24Updated 2 years ago
• Zhengyu-Huang / Operator-Learning
  ☆41Updated 2 years ago
• liu-ziyuan-math / SPFNO
  ☆12Updated last year
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆62Updated last month
• arkadaw9 / PID-GAN
  ☆20Updated 3 years ago
• BaratiLab / ROMER
  Reduced-Order Modeling of Fluid Flows with Transformers
  ☆24Updated 2 years ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆40Updated 3 months ago
• PredictiveIntelligenceLab / UQDeepONet
  ☆10Updated 2 years ago
• YuanAHa / PIGNN
  ☆8Updated 6 months ago
• csccm-iitd / WNO
  ☆55Updated 4 months ago
• cwq2016 / POD-PINN
  POD-PINN code and manuscript
  ☆51Updated 6 months ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆30Updated 2 months ago
• delta-lab-ai / pde-controller
  ☆17Updated 2 months ago