Alternatives and similar repositories for giverny

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

• NicolaRFranco / dlroms
  ☆12Updated this week
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆57Updated 5 months ago
• Cao-WenBo / TSONN
  ☆30Updated 9 months ago
• katarzynamichalowska / don-lstm
  DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks
  ☆11Updated last month
• lu-group / deeponet-extrapolation
  Reliable extrapolation of deep neural operators informed by physics or sparse observations
  ☆27Updated 2 years ago
• KTH-FlowAI / beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows
  ☆37Updated 6 months 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
• wagenaartje / pinn4hcf
  Physics-informed neural networks for highly compressible flows 🧠🌊
  ☆27Updated last year
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆38Updated 2 years ago
• lmandl / separable-PI-DeepONet
  Separabale Physics-Informed DeepONets in JAX
  ☆14Updated 11 months ago
• nimahsn / pinns_tf2
  Yet another PINN implementation
  ☆20Updated last year
• BaratiLab / ROMER
  Reduced-Order Modeling of Fluid Flows with Transformers
  ☆24Updated 2 years ago
• ContiPaolo / MultiFidelity_POD
  Multi-fidelity reduced-order surrogate modeling
  ☆25Updated 4 months ago
• MagriLab / PISR
  Physics-Informed Super-Resolution
  ☆10Updated 2 years ago
• PKU-CMEGroup / NeuralOperator
  ☆40Updated this week
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆24Updated last year
• vivekoommen / NeuralOperator_DiffusionModel
  ☆46Updated 7 months ago
• DuktigYajie / TGPT-PINN
  Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…
  ☆17Updated last year
• wangyong1301108 / MMPINN
  ☆12Updated 2 years ago
• shamsbasir / investigating_mitigating_failure_modes_in_pinns
  This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…
  ☆19Updated last year
• fishmoon1234 / Nonlocal-Attention-Operator
  Attention mechanism-based neural operator models to solve both forward and inverse problems.
  ☆16Updated 5 months ago
• KTH-FlowAI / Physics-informed-neural-networks-for-solving-Reynolds-averaged-Navier-Stokes-equations
  ☆81Updated 11 months ago
• hsbhc / AMAW-PINN
  Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting
  ☆37Updated 2 years ago
• Sysuzqs / DFVM
  Deep finite volume method
  ☆22Updated last year
• Extrality / AirfRANS
  In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…
  ☆56Updated 9 months ago
• echowve / phygnnet
  Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"
  ☆51Updated 2 years ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆19Updated last year
• anthonyzhou-1 / ldm_pdes
  ☆33Updated 3 months ago
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆25Updated 2 years ago
• JakobEliasWagner / NeuralOperators
  Neural Operators with Applications to the Helmholtz Equation
  ☆11Updated last year