linpde-gp
Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.0%) to scientific vocabulary
Keywords
Repository
Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
Basic Info
- Host: GitHub
- Owner: marvinpfoertner
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://arxiv.org/abs/2212.12474
- Size: 5.63 MB
Statistics
- Stars: 30
- Watchers: 2
- Forks: 5
- Open Issues: 1
- Releases: 1
Topics
Metadata Files
README.md
LinPDE-GP: Linear PDE Solvers based on GP Regression
Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
Getting Started
Cloning the Repository
This repository includes Git submodules, so it is best cloned via
shell
git clone --recurse-submodules git@github.com:marvinpfoertner/linpde-gp.git
If you forgot the --recurse-submodules flag when cloning, simply run
shell
git submodule update --init --recursive
inside the repository.
Installing a Full Development Environment
shell
cd path/to/linpde-gp
pip install -r dev-requirements.txt
Citation
If you use this software, please cite our paper.
bibtex
@misc{Pfoertner2022LinPDEGP,
author = {Pf\"ortner, Marvin and Steinwart, Ingo and Hennig, Philipp and Wenger, Jonathan},
title = {Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers},
year = {2022},
publisher = {arXiv},
doi = {10.48550/arxiv.2212.12474},
url = {https://arxiv.org/abs/2212.12474}
}
Owner
- Name: Marvin Pförtner
- Login: marvinpfoertner
- Kind: user
- Location: Tübingen, Germany
- Company: University of Tübingen
- Website: https://marvinpfoertner.github.io/
- Repositories: 3
- Profile: https://github.com/marvinpfoertner
PhD student in Machine Learning at the University of Tübingen
Citation (CITATION.cff)
cff-version: 1.2.0
message: If you use this software, please cite it as below.
title: LinPDE-GP
authors:
- name: Marvin Pförtner
license: MIT
url: "https://github.com/marvinpfoertner/linpde-gp"
preferred-citation:
type: generic
title: "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
authors:
- family-names: Pförtner
given-names: Marvin
orcid: "https://orcid.org/0000-0002-9005-2984"
- family-names: Steinwart
given-names: Ingo
orcid: "https://orcid.org/0000-0002-4436-7109"
- family-names: Hennig
given-names: Philipp
- family-names: Wenger
given-names: Jonathan
orcid: "https://orcid.org/0000-0003-2261-1331"
year: 2022
url: "https://arxiv.org/abs/2212.12474"
identifiers:
- type: other
value: "arXiv:2212.12474"
description: The arXiv preprint of the paper
GitHub Events
Total
- Watch event: 8
- Fork event: 2
Last Year
- Watch event: 8
- Fork event: 2
Packages
- Total packages: 1
-
Total downloads:
- pypi 8 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
- Total maintainers: 1
pypi.org: linpde-gp
Linear PDE Solvers as Gaussian Process Inference
- Documentation: https://linpde-gp.readthedocs.io/
- License: MIT
-
Latest release: 0.0.1
published almost 3 years ago