Alternatives and similar repositories for NPJCOMPUMATS-03747

Users that are interested in NPJCOMPUMATS-03747 are comparing it to the libraries listed below

• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆53Updated 2 years ago
• pkmtum / Semi-supervised_Invertible_Neural_Operators
  Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
  ☆13Updated last year
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆20Updated 2 years ago
• lu-group / deeponet-extrapolation
  DeepONet extrapolation
  ☆27Updated 2 years ago
• liu-ziyuan-math / SPFNO
  ☆12Updated last year
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆11Updated last year
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆29Updated 2 years ago
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆19Updated last year
• Zhengyu-Huang / Operator-Learning
  ☆41Updated 2 years ago
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆50Updated 3 years ago
• fpichi / gca-rom
  GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
  ☆35Updated this week
• BaratiLab / ROMER
  Reduced-Order Modeling of Fluid Flows with Transformers
  ☆24Updated 2 years ago
• mroberto166 / nio
  ☆33Updated last year
• 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
• PredictiveIntelligenceLab / UQDeepONet
  ☆10Updated 2 years ago
• cwq2016 / POD-PINN
  POD-PINN code and manuscript
  ☆51Updated 7 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆38Updated 3 months ago
• YihaoHu / Neural_PDE
  ☆12Updated 3 years ago
• Jasiuk-Research-Group / S-DeepONet
  A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…
  ☆15Updated last year
• SuihongSong / Physics-informed_multi-grid_neural_operator
  ☆20Updated last year
• 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
• arkadaw9 / PID-GAN
  ☆21Updated 3 years ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆69Updated last year
• NicolaRFranco / dlroms
  ☆11Updated 3 weeks ago
• yakovlev31 / graphpdes_experiments
  ☆35Updated 4 years ago
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆53Updated last month
• echowve / phygnnet
  Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"
  ☆46Updated 2 years ago
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆28Updated last year
• lu-group / multifidelity-deeponet
  Multifidelity DeepONet
  ☆33Updated last year
• 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