kaist-silab / graphsplinenets
[NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"
☆16Updated 9 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☆37Updated 3 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆24Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆42Updated last year
- ☆15Updated 3 years ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆25Updated last month
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated 10 months ago
- ☆21Updated 11 months ago
- ☆13Updated last year
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆39Updated last year
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated last year
- ☆13Updated 8 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆26Updated 5 months ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆25Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated 10 months ago
- ICON for in-context operator learning☆51Updated 2 months ago
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆13Updated 9 months ago
- ☆33Updated last month
- ☆33Updated 11 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆49Updated 10 months ago
- Official implementation of Diffusion Graph Networks (DGNs)☆40Updated last month
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆22Updated 2 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆64Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆52Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆39Updated 2 months ago
- ☆32Updated last month
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆44Updated last year
- ☆16Updated 9 months ago
- ☆16Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆14Updated 8 months ago
- ☆50Updated 2 years ago