Alternatives and similar repositories for Diffusion-based-Flow-Prediction

Users that are interested in Diffusion-based-Flow-Prediction are comparing it to the libraries listed below

• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆96Updated 9 months ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆46Updated 6 months 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
• tum-pbs / dgn4cfd
  Official implementation of Diffusion Graph Networks (DGNs)
  ☆66Updated 5 months ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆55Updated 2 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆52Updated last year
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆41Updated 6 months ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆152Updated 5 months ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆46Updated 2 years ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆59Updated last year
• isds-neu / PeRCNN
  Encoding physics to learn reaction-diffusion processes
  ☆103Updated 2 years ago
• HaoZhongkai / GNOT
  ☆50Updated 2 years ago
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆81Updated 3 months 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
  ☆74Updated 5 months ago
• BaratiLab / OFormer
  ☆83Updated last year
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆73Updated 2 years ago
• AI4Science-WestlakeU / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆29Updated 9 months ago
• pswpswpsw / nif
  A library for dimensionality reduction on spatial-temporal PDE
  ☆66Updated last year
• anthonyzhou-1 / ldm_pdes
  ☆32Updated 2 months ago
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆65Updated 3 months ago
• thu-ml / GNOT
  ☆81Updated 2 years ago
• 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 8 months ago
• TapasTripura / WNO
  Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
  ☆43Updated 3 weeks 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
• Rose-STL-Lab / Turbulent-Flow-Net
  Turbulent flow network source code
  ☆70Updated 6 months ago
• ncsa / GeomDeepONet
  A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…
  ☆20Updated last year
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆35Updated 6 months ago
• tum-pbs / pde-transformer
  PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …
  ☆49Updated last month
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆22Updated last year
• PredictiveIntelligenceLab / cvit
  ☆48Updated last month