Alternatives and similar repositories for characterizing-pinns-failure-modes

Users that are interested in characterizing-pinns-failure-modes are comparing it to the libraries listed below

• PredictiveIntelligenceLab / CausalPINNs
  ☆165Updated last year
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆210Updated 3 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆141Updated 2 years ago
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆126Updated 2 years ago
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆177Updated last month
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆229Updated 3 years ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆345Updated 2 years ago
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆303Updated last year
• AdityaLab / pinnsformer
  ☆131Updated 7 months ago
• Crunch-UQ4MI / neuraluq
  ☆180Updated 2 months ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆258Updated this week
• PredictiveIntelligenceLab / PINNsNTK
  ☆97Updated 3 years ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆53Updated 2 years ago
• lu-group / pinn-sampling
  Non-adaptive and residual-based adaptive sampling for PINNs
  ☆78Updated 2 years ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆69Updated last year
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆144Updated last month
• rbischof / relative_balancing
  ☆62Updated 2 years ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆392Updated last year
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆193Updated 2 years ago
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆99Updated 2 years ago
• lululxvi / hpinn
  hPINN: Physics-informed neural networks with hard constraints
  ☆133Updated 3 years ago
• 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
• cics-nd / pde-surrogate
  Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
  ☆149Updated 5 years ago
• neuraloperator / physics_informed
  ☆454Updated 2 months ago
• csccm-iitd / WNO
  ☆55Updated 4 months ago
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆146Updated 4 years ago
• alasdairtran / fourierflow
  [ICLR 2023] Factorized Fourier Neural Operators
  ☆165Updated last year
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆144Updated last year
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆150Updated last year
• PredictiveIntelligenceLab / jaxpi
  ☆308Updated last month