Alternatives and similar repositories for graphpdes_experiments

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

• yakovlev31 / graphpdes
  ☆14Updated 4 years ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆42Updated 8 months ago
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆139Updated last year
• computational-imaging / GraphPDE
  ☆54Updated 3 years ago
• sungyongs / dpgn
  Differentiable Physics-informed Graph Networks
  ☆67Updated 5 years ago
• gaurav71531 / mwt-operator
  Multiwavelets-based operator model
  ☆66Updated 3 years ago
• isds-neu / PeRCNN
  Encoding physics to learn reaction-diffusion processes
  ☆105Updated 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."
  ☆75Updated 6 months ago
• csccm-iitd / WNO
  ☆62Updated 2 months ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆24Updated 5 months ago
• neuraloperator / markov_neural_operator
  ☆39Updated 2 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆53Updated last year
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆29Updated 3 years ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 3 years ago
• Rose-STL-Lab / Turbulent-Flow-Net
  Turbulent flow network source code
  ☆71Updated 8 months ago
• echowve / phygnnet
  Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"
  ☆52Updated 2 years ago
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆54Updated last year
• yellowshippo / penn-neurips2022
  PENN code for NeurIPS 2022
  ☆42Updated 2 years ago
• mroberto166 / nio
  ☆37Updated 2 years ago
• ashiq24 / UNO
  ☆64Updated 7 months ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆74Updated 2 years ago
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆20Updated last month
• QibangLiu / GINOT
  GINOT is a deep learning model that combines transformers with neural operators for accurate forward predictions on arbitrary 2D and 3D g…
  ☆18Updated this week
• thu-ml / GNOT
  ☆83Updated 2 years ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆45Updated 8 months ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023
  ☆75Updated last year
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆48Updated 2 years ago
• vivekoommen / NPJCOMPUMATS-03747
  Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  ☆25Updated last year
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆75Updated 7 months ago
• cselab / LED
  ☆21Updated 2 years ago