Alternatives and similar repositories for VS-PINN

Users that are interested in VS-PINN are comparing it to the libraries listed below

• 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…
  ☆19Updated 2 years ago
• DuktigYajie / TGPT-PINN
  Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…
  ☆18Updated last year
• katarzynamichalowska / don-lstm
  DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks
  ☆10Updated 5 months ago
• pde-sim / teng
  Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"
  ☆18Updated last year
• 1shirong / dwPINNs
  Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations
  ☆14Updated 3 years ago
• xiangzixuebit / LBPINN
  ☆16Updated 3 years ago
• Cao-WenBo / TSONN
  ☆33Updated last year
• NicolaRFranco / dlroms
  ☆13Updated 2 weeks ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• RiverFlowsInYou98 / DeepONet_pytorch
  ☆26Updated 3 years ago
• sciserver / giverny
  library for querying the Johns Hopkins Turbulence Database (JHTDB)
  ☆22Updated 3 weeks ago
• zhouzhouwen / two-phase-flow-by-self_adaptive-and-time_divide_conquer-PINNs
  ☆17Updated last year
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆25Updated 2 years ago
• Sysuzqs / DFVM
  Deep finite volume method
  ☆21Updated last year
• lu-group / deeponet-extrapolation
  Reliable extrapolation of deep neural operators informed by physics or sparse observations
  ☆28Updated 2 years ago
• RigasLab / PINN_SA
  Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction
  ☆12Updated last year
• Shengfeng233 / PINN-Preprocess
  Data preprocess method on Physics-informed neural networks
  ☆26Updated 11 months ago
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆30Updated 3 years ago
• wangyong1301108 / MMPINN
  ☆16Updated 2 years ago
• bilzinet / pifno
  Physics Informed Fourier Neural Operator
  ☆29Updated last year
• MouXuanKang / SoundFieldINN
  Applied project based on PINNs. The physical problem is sound propagation underwater&Helmholtz equation.
  ☆14Updated 4 years ago
• EhsanGh94 / PINN
  Physics-Informed Neural Network
  ☆94Updated last year
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆44Updated 3 years ago
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆34Updated 2 years ago
• nimahsn / pinns_tf2
  PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…
  ☆20Updated last year
• SiddeshSambasivam / Physics-Informed-Neural-Networks
  This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.
  ☆11Updated 4 years ago
• YuanAHa / PIGNN
  ☆14Updated last year
• cwq2016 / POD-PINN
  POD-PINN code and manuscript
  ☆57Updated last year
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆24Updated last year
• Panda000001 / PINN-POD
  This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…
  ☆12Updated 2 years ago