yakovlev31 / graphpdes_experimentsLinks
☆35Updated 4 years ago
Alternatives and similar repositories for graphpdes_experiments
Users that are interested in graphpdes_experiments are comparing it to the libraries listed below
Sorting:
- ☆14Updated 4 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆41Updated 6 months ago
- Differentiable Physics-informed Graph Networks☆67Updated 5 years ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆20Updated 3 months ago
- ☆52Updated 3 years ago
- PENN code for NeurIPS 2022☆41Updated 2 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆137Updated last year
- Encoding physics to learn reaction-diffusion processes☆103Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆69Updated 4 months ago
- Multiwavelets-based operator model☆64Updated 3 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆52Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆71Updated last year
- ☆54Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- The public repository about our joint FINN research project☆38Updated 2 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- ☆36Updated 2 weeks ago
- ☆59Updated 3 weeks ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆40Updated last year
- ☆61Updated 5 months ago
- Spectral Neural Operator☆78Updated last year
- ☆46Updated 6 months ago
- ☆36Updated 2 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆74Updated 5 months ago
- ☆81Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆49Updated 2 years ago
- ICON for in-context operator learning☆57Updated 6 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆46Updated 2 years ago
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆27Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago