pysr_paper
A paper describing the implementation of PySR and SymbolicRegression.jl
Science Score: 54.0%
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
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✓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 (10.5%) to scientific vocabulary
Repository
A paper describing the implementation of PySR and SymbolicRegression.jl
Basic Info
Statistics
- Stars: 58
- Watchers: 3
- Forks: 15
- Open Issues: 3
- Releases: 3
Metadata Files
README.md
with PySR & SymbolicRegression.jl
This repository holds the source code for the PySR & SymbolicRegression.jl paper, including LaTeX, raw data, and plotting code.
Click here to download the PDF, and feel free to submit a PR to suggest any changes to the paper!
Build
You can build the paper, including generating all plots and tables from source, with:
showyourwork build
which uses showyourwork to create ms.pdf in the current directory.
You can also fork the repository, enable GitHub actions, and the build action will do this automatically.
This is an open source scientific article created using the showyourwork workflow.
Owner
- Name: Miles Cranmer
- Login: MilesCranmer
- Kind: user
- Location: Cambridge, UK
- Company: University of Cambridge
- Website: astroautomata.com
- Twitter: MilesCranmer
- Repositories: 219
- Profile: https://github.com/MilesCranmer
Assistant Professor at University of Cambridge. Works on AI for the physical sciences.
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it using as below." authors: - family-names: "Cranmer" given-names: "Miles" orcid: "https://orcid.org/0000-0002-6458-3423" title: "Interpretable Machine Learning for Science with PySR & SymbolicRegression.jl" version: 1.0.0 date-released: 2023-05-02 doi: 10.48550/arXiv.2305.01582 url: "https://github.com/MilesCranmer/pysr_paper"
GitHub Events
Total
- Watch event: 9
- Fork event: 2
Last Year
- Watch event: 9
- Fork event: 2
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 2
- Total pull requests: 5
- Average time to close issues: about 21 hours
- Average time to close pull requests: about 1 hour
- Total issue authors: 1
- Total pull request authors: 3
- Average comments per issue: 5.5
- Average comments per pull request: 1.4
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- krosenfeld-IDM (2)
Pull Request Authors
- MilesCranmer (4)
- ssharlin (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- actions/checkout v3 composite
- showyourwork/showyourwork-action v1 composite
- actions/checkout v3 composite
- showyourwork/showyourwork-action v1 composite
- showyourwork/showyourwork-action/process-pull-request v1 composite
- condaforge/mambaforge 4.11.0-2 build
- julia >=0.6.1,<0.7
- manim ==0.17.2
- numpy >=1.22
- pysr ==0.12.3
- clang
- jupyter
- matplotlib
- numpy
- openmp
- pandas
- pip 20.3.3.*
- pytest
- python
- pyyaml
- scikit-learn 0.24.1.*
- sympy
- matplotlib 3.5.1
- numpy 1.19.5.*
- pandas 1.4.1.*
- pip 21.0.1.*
- python 3.9.*
- docker.flatironinstitute.org/mcranmer/srbench-core latest build