gefanyang / FluidDiffLinks
This repository is for the master thesis project: "DiffFluids: A Diffusion-based Generative Model for Fluid Simulations"
☆12Updated 2 years ago
Alternatives and similar repositories for FluidDiff
Users that are interested in FluidDiff are comparing it to the libraries listed below
Sorting:
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆66Updated 8 months ago
- PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…☆210Updated 2 years ago
- A small research project about advanced machine learning with neural networks. The Fourier neural operator was implemented here to see if…☆38Updated 2 years ago
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆13Updated last year
- Fourier Neural Operator☆12Updated 2 years ago
- ☆21Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆62Updated 4 months ago
- Fourier_neural_operator☆16Updated 2 years ago
- This is the implementation of the RecFNO.☆25Updated 2 years ago
- Physics-informed deep super-resolution of spatiotemporal data☆47Updated 2 years ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24Updated last year
- ☆86Updated last year
- ☆62Updated 2 months ago
- Modified Meshgraphnets with more features☆56Updated 9 months ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆234Updated last week
- MIONet: Learning multiple-input operators via tensor product☆38Updated 2 years ago
- ☆32Updated last year
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆152Updated last year
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆51Updated 2 years ago
- PDE Preserved Neural Network☆57Updated 5 months ago
- ☆40Updated this week
- Physics Informed Fourier Neural Operator☆23Updated 11 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆33Updated 3 years ago
- ☆59Updated last week
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- ☆65Updated 2 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆99Updated 10 months ago
- ☆83Updated 2 years ago
- KTH-FlowAI / beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows☆37Updated 6 months ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago