kaist-silab / graphsplinenets
[NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"
☆15Updated 7 months ago
Alternatives and similar repositories for graphsplinenets:
Users that are interested in graphsplinenets are comparing it to the libraries listed below
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆35Updated 3 years ago
- ☆15Updated 9 months ago
- ☆10Updated 5 months ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆22Updated 9 months ago
- ☆12Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆36Updated 10 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆42Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆35Updated 10 months ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated last year
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆38Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆49Updated 8 months ago
- ☆26Updated last month
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆15Updated 3 months ago
- ☆47Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆56Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆13Updated 5 months ago
- Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆24Updated 2 months ago
- ☆15Updated 6 months ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆21Updated 3 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆41Updated 8 months ago
- Neural SPH☆27Updated 7 months ago
- ICON for in-context operator learning☆45Updated 2 months ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆24Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆49Updated 2 years ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆25Updated 2 months ago
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆12Updated 6 months ago
- ☆15Updated 2 years ago
- ☆18Updated 3 weeks ago
- About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…☆14Updated 7 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆28Updated 8 months ago