Alternatives and similar repositories for Physics-Informed-Neural-Networks-PyTorch

Users that are interested in Physics-Informed-Neural-Networks-PyTorch are comparing it to the libraries listed below

• AmeyaJagtap / Locally-Adaptive-Activation-Functions-Neural-Networks-
  Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…
  ☆40Updated 2 years ago
• Zhengyu-Huang / Operator-Learning
  ☆41Updated 2 years ago
• mroberto166 / nio
  ☆33Updated last year
• zabaras / inn-surrogate
  Solving inverse problems using conditional invertible neural networks.
  ☆33Updated 4 years ago
• lu-group / deeponet-extrapolation
  DeepONet extrapolation
  ☆27Updated 2 years ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆53Updated 2 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• rodsveiga / PINNs
  Physics Informed Neural Networks
  ☆20Updated 4 years ago
• RizaXudayi / VarNet
  Variational Neural Networks for the Solution of Partial Differential Equations
  ☆8Updated 5 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆49Updated 4 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 2 months ago
• rbischof / relative_balancing
  ☆62Updated 2 years ago
• paulpuren / PhySR
  Physics-informed deep super-resolution of spatiotemporal data
  ☆45Updated last year
• weipengOO98 / rang_pinn
  Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks
  ☆15Updated 3 years ago
• ashiq24 / UNO
  ☆59Updated 3 months ago
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆20Updated 2 years ago
• cwq2016 / POD-PINN
  POD-PINN code and manuscript
  ☆51Updated 7 months ago
• Raocp / PeRCNN
  Physics-encoded recurrent convolutional neural network
  ☆46Updated 3 years ago
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆50Updated 3 years ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆97Updated 3 years ago
• Jianxun-Wang / LabelFree-DNN-Surrogate
  Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
  ☆88Updated last year
• csccm-iitd / WNO
  ☆56Updated 5 months ago
• vivekoommen / NPJCOMPUMATS-03747
  Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  ☆23Updated last year
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆26Updated 7 months ago
• arkadaw9 / PID-GAN
  ☆21Updated 3 years ago
• cics-nd / pde-surrogate
  Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
  ☆148Updated 5 years ago
• DCN-FAU-AvH / PINNs_wave_equation
  An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…
  ☆37Updated 2 years ago
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆29Updated 2 years ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆69Updated last year
• VLSF / SNO
  Spectral Neural Operator
  ☆79Updated last year