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
  ☆167Updated last year
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆214Updated 3 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆145Updated 3 years ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆97Updated 3 years ago
• AdityaLab / pinnsformer
  ☆138Updated 8 months ago
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆312Updated 2 years ago
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆128Updated 2 years ago
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆236Updated 3 years ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆354Updated 2 years ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆201Updated 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
  ☆179Updated 2 months ago
• Crunch-UQ4MI / neuraluq
  ☆182Updated 3 months ago
• rbischof / relative_balancing
  ☆63Updated 2 years ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆150Updated last year
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆70Updated last year
• PredictiveIntelligenceLab / jaxpi
  ☆316Updated 2 months ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 2 years ago
• benmoseley / DLSC-2023
  ETH Zürich Deep Learning in Scientific Computing Master's course 2023
  ☆114Updated 11 months ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆265Updated last month
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆145Updated last year
• Jianxun-Wang / phygeonet
  PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain
  ☆86Updated 4 years ago
• neuraloperator / physics_informed
  ☆465Updated 3 months ago
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆105Updated 2 years ago
• ehsankharazmi / hp-VPINNs
  hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations
  ☆80Updated 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."
  ☆63Updated 2 months ago
• camlab-ethz / AI_Science_Engineering
  This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.
  ☆241Updated 2 months ago
• vc-bonn / Spline_PINN
  ☆111Updated 5 months ago
• soanagno / rba-pinns
  Original implementation of fast PINN optimization with RBA weights
  ☆57Updated 2 months ago
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆328Updated 11 months ago
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆261Updated last year