Alternatives and similar repositories for PhysicsInformedPointNetElasticity

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

• RizaXudayi / VarNet
  Variational Neural Networks for the Solution of Partial Differential Equations
  ☆8Updated 5 years ago
• SuihongSong / Physics-informed_multi-grid_neural_operator
  ☆22Updated last year
• katarzynamichalowska / don-lstm
  DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks
  ☆10Updated 9 months ago
• jayroxis / qres
  Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
  ☆16Updated 4 years ago
• PredictiveIntelligenceLab / LOCA
  ☆15Updated last year
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆29Updated 2 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
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆29Updated 9 months ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆15Updated last year
• PredictiveIntelligenceLab / UQDeepONet
  ☆10Updated 2 years ago
• pierremtb / UQPINNs-TF2.0
  TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…
  ☆20Updated 2 years ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆35Updated 5 months ago
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆21Updated 2 years ago
• NicolaRFranco / dlroms
  ☆11Updated last month
• PredictiveIntelligenceLab / PDE-constrained-optimization-PI-DeepONet
  ☆14Updated 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
• elhamwasei / PINNs
  Physics-Informed Neural Networks for solving PDEs (bachelor project)
  ☆10Updated 2 years ago
• 7tl7qns7ch / IPOT
  Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)
  ☆14Updated last year
• rmojgani / PhysicsAwareAE
  The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…
  ☆19Updated 2 years ago
• lmandl / separable-PI-DeepONet
  Separabale Physics-Informed DeepONets in JAX
  ☆10Updated 8 months ago
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆54Updated 2 months ago
• lu-group / deeponet-extrapolation
  Reliable extrapolation of deep neural operators informed by physics or sparse observations
  ☆27Updated 2 years ago
• SFETNI / PINNs_MPF--a-Physics-Informed-Neural-Network-for-Multi-Phase-Field-problems
  PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…
  ☆16Updated 4 months ago
• HiPerSimLab / PECANN
  PECANNs: Physics and Equality Constrained Artificial Neural Networks
  ☆23Updated 2 years ago
• zhaoxiaoyu1995 / PI-UNet_HSL-TFP
  This is the implementation of the PI-UNet for HSL-TFP
  ☆27Updated 2 years ago
• cmudrc / FlowDataGeneration
  ☆14Updated 8 months ago
• sciserver / giverny
  library for querying the Johns Hopkins Turbulence Database (JHTDB)
  ☆14Updated 2 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆44Updated 4 months ago
• anthonyzhou-1 / ldm_pdes
  ☆32Updated last month
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆50Updated 3 years ago