yuan-yin / CoDA
Generalizing to New Physical Systems via Context-Informed Dynamics Model
☆22Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for CoDA
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆52Updated 10 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆47Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆23Updated last year
- Learning Dynamical Systems that Generalize Across Environments☆19Updated 2 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆36Updated last year
- ☆14Updated 6 months ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆39Updated 11 months ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆15Updated 4 months ago
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆13Updated 8 months ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆36Updated 3 years ago
- Multiwavelets-based operator model☆56Updated 2 years ago
- ☆14Updated 3 years ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆37Updated 9 months ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆63Updated 7 months ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆14Updated 3 weeks ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆17Updated 2 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆20Updated 8 months ago
- ☆27Updated 5 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆28Updated 7 months ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆72Updated 2 weeks ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆37Updated last year
- ICON for in-context operator learning☆41Updated 3 weeks ago
- ☆13Updated 2 years ago
- ☆33Updated 3 years ago
- ☆34Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆35Updated 5 months ago
- ☆10Updated 2 months ago
- ☆14Updated 3 months ago