Alternatives and similar repositories for penn-neurips2022

Users that are interested in penn-neurips2022 are comparing it to the libraries listed below

• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 7 months ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆67Updated last year
• yakovlev31 / graphpdes_experiments
  ☆35Updated 4 years ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆69Updated 4 months ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023
  ☆71Updated last year
• isds-neu / PeRCNN
  Encoding physics to learn reaction-diffusion processes
  ☆103Updated 2 years ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆20Updated 3 months 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
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆137Updated last year
• computational-imaging / GraphPDE
  ☆52Updated 3 years ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆52Updated last year
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆40Updated last year
• mario-linov / graphs4cfd
  Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)
  ☆42Updated last year
• tum-pbs / dgn4cfd
  Official implementation of Diffusion Graph Networks (DGNs)
  ☆68Updated 6 months ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆55Updated 2 months ago
• fpichi / gca-rom
  GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
  ☆36Updated this week
• locuslab / cfd-gcn
  ☆126Updated 2 years ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆73Updated 2 years ago
• yellowshippo / fluxgnn-icml2024
  Official FluxGNN code for ICML2024
  ☆21Updated 6 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆96Updated 9 months ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆46Updated 2 years ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆152Updated 5 months ago
• anthonyzhou-1 / ldm_pdes
  ☆32Updated 2 months ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆65Updated 8 months ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆67Updated last year
• Jianxun-Wang / graphGalerkin
  Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
  ☆56Updated 3 years ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆17Updated last year
• vivekoommen / NeuralOperator_DiffusionModel
  ☆46Updated 6 months ago
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• Rose-STL-Lab / Turbulent-Flow-Net
  Turbulent flow network source code
  ☆70Updated 6 months ago