ShashankSubramanian / neuraloperators-TL-scaling
Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
☆42Updated last year
Alternatives and similar repositories for neuraloperators-TL-scaling:
Users that are interested in neuraloperators-TL-scaling are comparing it to the libraries listed below
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆44Updated 9 months ago
- ICON for in-context operator learning☆46Updated 3 weeks ago
- ☆68Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆39Updated 11 months ago
- Spectral Neural Operator☆75Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆51Updated 9 months ago
- ☆48Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆56Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆47Updated last month
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆82Updated 3 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆135Updated 3 months ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆22Updated 4 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆63Updated 4 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆57Updated 7 months ago
- ☆71Updated 6 months ago
- ☆47Updated last month
- ☆40Updated 5 months ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆68Updated 11 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆51Updated 2 years ago
- ☆37Updated last year
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆17Updated 4 months ago
- ☆16Updated 9 months ago
- ☆30Updated last year
- A library for dimensionality reduction on spatial-temporal PDE☆63Updated 11 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆30Updated 8 months ago
- Code for the paper Universal Physics Transformers☆97Updated last month
- ☆27Updated 7 months ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆130Updated 6 months ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆60Updated 4 months ago