kaist-silab / graphsplinenets
[NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"
☆15Updated 5 months ago
Alternatives and similar repositories for graphsplinenets:
Users that are interested in graphsplinenets are comparing it to the libraries listed below
- ☆15Updated 7 months ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆35Updated 3 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆22Updated 8 months ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated last year
- ☆14Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆55Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆30Updated 9 months ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆23Updated 11 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆39Updated last year
- Neural SPH☆27Updated 6 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆28Updated 6 months ago
- ☆10Updated 4 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆35Updated 9 months ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆24Updated last year
- ☆12Updated 11 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆15Updated 2 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆39Updated 7 months ago
- ☆14Updated 5 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆47Updated 7 months ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆38Updated 11 months ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆39Updated last week
- 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☆24Updated last month
- ☆13Updated last year
- ☆45Updated 2 years ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆18Updated 2 months ago
- ICON for in-context operator learning☆44Updated last month
- Domain Agnostic Fourier Neural Operators (DAFNO)☆12Updated 4 months ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆59Updated 2 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆49Updated last year