Alternatives and similar repositories for dpgn

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

• yakovlev31 / graphpdes_experiments
  ☆35Updated 4 years ago
• Raocp / PeRCNN
  Physics-encoded recurrent convolutional neural network
  ☆46Updated 3 years ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆67Updated last year
• JRice15 / physics-informed-autoencoders
  Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …
  ☆36Updated 2 years ago
• jaggbow / magnet
  This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
  ☆37Updated 2 years ago
• locuslab / cfd-gcn
  ☆126Updated 2 years ago
• Rose-STL-Lab / Turbulent-Flow-Net
  Turbulent flow network source code
  ☆70Updated 5 months ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆27Updated 3 years ago
• Rui1521 / Turbulent-Flow-Nets
  Towards Physics-informed Deep Learning for Turbulent Flow Prediction
  ☆27Updated 3 years ago
• computational-imaging / GraphPDE
  ☆52Updated 3 years ago
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆135Updated 11 months ago
• YuntianChen / Hard_constraint_projection_HCP
  Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
  ☆61Updated 3 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 2 years ago
• yellowshippo / penn-neurips2022
  PENN code for NeurIPS 2022
  ☆41Updated 2 years ago
• echowve / phygnnet
  Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"
  ☆49Updated 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."
  ☆67Updated 4 months ago
• AI4Science-WestlakeU / le-pde-uq
  [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…
  ☆16Updated last year
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆41Updated 6 months ago
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆63Updated 3 years ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆71Updated last year
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆143Updated 2 years ago
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆25Updated last year
• Rose-STL-Lab / Equivariant-Net
  ☆35Updated 2 years ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆53Updated last year
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆73Updated 2 years ago
• cics-nd / pde-surrogate
  Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
  ☆150Updated 5 years ago
• PhIMaL / DeePyMoD
  ☆48Updated last year
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆32Updated 4 years ago
• neuraloperator / markov_neural_operator
  ☆36Updated last year
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆35Updated 3 years ago