Alternatives and similar repositories for DiffusionReconstruct

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

• jx-wang-s-group / CoNFiLD
  Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence
  ☆45Updated 4 months ago
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆19Updated last year
• nec-research / CAPE-ML4Sci
  ☆13Updated 10 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆38Updated 3 months ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆31Updated 3 months ago
• 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
• PredictiveIntelligenceLab / cvit
  ☆40Updated 4 months ago
• thu-ml / GNOT
  ☆75Updated last year
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆36Updated 5 months ago
• csccm-iitd / WNO
  ☆56Updated 5 months ago
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆53Updated last month
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆28Updated 6 months ago
• JohnCSu / DeepONet_Pytorch_Demo
  Simple demo on implementing data driven and physics informed Deep O Nets in pytorch
  ☆11Updated last year
• paulpuren / PhySR
  Physics-informed deep super-resolution of spatiotemporal data
  ☆45Updated last year
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆46Updated last year
• anthonyzhou-1 / ldm_pdes
  ☆30Updated 3 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated last year
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆41Updated 4 months ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆43Updated last week
• thu-ml / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆51Updated last year
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆20Updated 3 weeks ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆57Updated last year
• vivekoommen / NPJCOMPUMATS-03747
  Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  ☆23Updated last year
• pengwei07 / AeroGTO
  AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
  ☆13Updated 3 weeks ago
• thuml / Latent-Spectral-Models
  About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664
  ☆71Updated 2 months ago
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆20Updated 2 years ago
• Hrrsmjd / fourier_neural_operator
  Fourier Neural Operator
  ☆12Updated 2 years ago
• cambridge-mlg / pdediff
  Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
  ☆24Updated 7 months ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆15Updated 9 months ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆65Updated last year