Alternatives and similar repositories for ImprovedDeepONets

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

• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 3 years ago
• katarzynamichalowska / don-lstm
  DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks
  ☆11Updated 3 months ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆75Updated 2 years ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆40Updated 3 years ago
• anthonyzhou-1 / ldm_pdes
  ☆37Updated 5 months ago
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆33Updated 2 years ago
• lu-group / deeponet-extrapolation
  Reliable extrapolation of deep neural operators informed by physics or sparse observations
  ☆28Updated 2 years ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆75Updated 8 months ago
• AmeyaJagtap / XPINNs_TensorFlow-2
  XPINN code written in TensorFlow 2
  ☆28Updated 2 years ago
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆52Updated 4 years ago
• lu-group / multifidelity-deeponet
  Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…
  ☆37Updated 2 years ago
• PredictiveIntelligenceLab / PDE-constrained-optimization-PI-DeepONet
  ☆15Updated 4 years ago
• rfarell / Reduced-Order-Modeling-Tutorials
  A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…
  ☆27Updated 11 months ago
• cwq2016 / POD-PINN
  POD-PINN code and manuscript
  ☆57Updated last year
• comp-physics / CPINN
  Competitive Physics Informed Networks
  ☆32Updated last year
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆59Updated 7 months ago
• 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…
  ☆43Updated 2 years ago
• Jianxun-Wang / phygeonet
  PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain
  ☆91Updated 4 years ago
• bfly123 / PINN_WE
  Discontinuity Computing Using Physics-Informed Neural Network
  ☆26Updated last year
• Zhengyu-Huang / Operator-Learning
  ☆45Updated 3 years ago
• bilzinet / pifno
  Physics Informed Fourier Neural Operator
  ☆25Updated last year
• ardamavi / PI-rCNN
  An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…
  ☆31Updated 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
  ☆14Updated 4 years ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆109Updated 4 years ago
• SuihongSong / Physics-informed_multi-grid_neural_operator
  ☆23Updated 2 years ago
• Raocp / PeRCNN
  Physics-encoded recurrent convolutional neural network
  ☆48Updated 3 years ago
• mroberto166 / nio
  ☆40Updated 2 years ago
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆37Updated last year
• LouisSerrano / coral
  ☆38Updated last year