SIAT-SIH / fluidLinks
☆12Updated last year
Alternatives and similar repositories for fluid
Users that are interested in fluid are comparing it to the libraries listed below
Sorting:
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆27Updated 11 months ago
- ☆51Updated 3 months ago
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆65Updated 8 months ago
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆17Updated last year
- Code for orthogonal neural operator☆16Updated 2 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated last month
- AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries☆14Updated 3 months ago
- ☆12Updated 11 months ago
- ☆27Updated 10 months ago
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆47Updated last month
- Domain Agnostic Fourier Neural Operators (DAFNO)☆17Updated last year
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆27Updated 10 months ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆24Updated last year
- ☆10Updated 2 years ago
- ☆57Updated last week
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24Updated last year
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆25Updated 2 weeks ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- This is the implementation of the RecFNO.☆24Updated 2 years ago
- [NeurIPS 2024] AFBench: A Large-scale Benchmark for Airfoil Design☆29Updated last year
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 10 months ago
- ☆33Updated 3 months ago
- ☆23Updated 10 months ago
- ☆46Updated 7 months ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Updated 2 weeks ago
- Physics-informed deep super-resolution of spatiotemporal data☆47Updated 2 years ago
- Official codebase for "Score-based Diffusion Models in Function Space"☆14Updated 9 months ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆28Updated 8 months ago
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆81Updated 2 years ago