anthonyzhou-1 / mae-pdesLinks
☆13Updated 9 months ago
Alternatives and similar repositories for mae-pdes
Users that are interested in mae-pdes are comparing it to the libraries listed below
Sorting:
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆56Updated 11 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆50Updated 11 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆27Updated 6 months ago
- ☆21Updated last year
- ☆35Updated 2 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆65Updated last year
- ☆73Updated last year
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆26Updated 2 months ago
- Code for orthogonal neural operator☆15Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆44Updated last year
- ICON for in-context operator learning☆53Updated 3 months ago
- ☆39Updated 3 months ago
- ☆13Updated 9 months ago
- ☆43Updated last year
- [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆34Updated last month
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated 2 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆71Updated last month
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆36Updated 3 weeks ago
- ☆79Updated 9 months ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆34Updated 4 months ago
- ☆31Updated 10 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated 11 months ago
- ☆37Updated 2 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆22Updated 7 months ago
- ☆17Updated 2 months ago
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆11Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆86Updated 5 months ago
- ☆51Updated 2 years ago
- Code for the paper Universal Physics Transformers☆113Updated 3 months ago
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆14Updated 10 months ago