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requirements.txt, which can be installed by running pip install -r requirements.txt.data/data_download.py script from PDEbench. Then process the data with the data/extract_data_subsets.py script.config and run python main.py.solvers folder as "seeds" (e.g., solvers/burgers/nu_0.01/seeds for Burgers Equation with $\nu=0.01$) and tries to improve upon the "seeds".../archived_logs.shandal@cs.cmu.edu!@article{li2025codepde,
title={CodePDE: An Inference Framework for LLM-driven PDE Solver Generation},
author={Li, Shanda and Marwah, Tanya and Shen, Junhong and Sun, Weiwei and Risteski, Andrej and Yang, Yiming and Talwalkar, Ameet},
journal={arXiv preprint arXiv:2505.08783},
year={2025}
}