Alternatives and similar repositories for UQDeepONet

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

• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆14Updated last year
• RizaXudayi / VarNet
  Variational Neural Networks for the Solution of Partial Differential Equations
  ☆8Updated 5 years ago
• lu-group / deeponet-extrapolation
  Reliable extrapolation of deep neural operators informed by physics or sparse observations
  ☆27Updated 2 years ago
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆21Updated 2 years ago
• vivekoommen / NPJCOMPUMATS-03747
  Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  ☆23Updated last year
• Zhengyu-Huang / Operator-Learning
  ☆42Updated 2 years ago
• SuihongSong / Physics-informed_multi-grid_neural_operator
  ☆22Updated last year
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆35Updated 4 months ago
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆29Updated 2 years ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆44Updated 4 months ago
• lu-group / multifidelity-deeponet
  Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…
  ☆35Updated 2 years ago
• fpichi / gca-rom
  GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
  ☆36Updated last month
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 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."
  ☆65Updated 3 months ago
• PredictiveIntelligenceLab / PDE-constrained-optimization-PI-DeepONet
  ☆14Updated 3 years ago
• lmandl / separable-PI-DeepONet
  Separabale Physics-Informed DeepONets in JAX
  ☆10Updated 8 months ago
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆22Updated last year
• gegewen / nested-fno
  ☆39Updated last year
• cmudrc / MegaFlow2D
  The MegaFlow2D dataset package
  ☆23Updated last year
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆29Updated 9 months ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 2 years ago
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆29Updated last year
• NicolaRFranco / dlroms
  ☆11Updated last month
• PredictiveIntelligenceLab / LOCA
  ☆15Updated last year
• stefaniafresca / DL-ROM-Meth
  Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…
  ☆25Updated last year
• csccm-iitd / VB-DeepONet
  ☆12Updated 2 years ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆27Updated last year
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆54Updated 2 months ago
• mroberto166 / nio
  ☆36Updated 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