atomind-ai / mlip-arena
🌟 [NeurIPS '25 Spotlight] Fair and transparent benchmark of machine learning interatomic potentials (MLIPs), beyond basic error metrics https://openreview.net/forum?id=SAT0KPA5UO
Why this job: says: benchmark; topics: benchmark
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 109
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.2.0-alpha
- Released 7 months ago
- Built with
- Jupyter Notebook
- 91% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 50% closed
- 10 still open
- Pull requests
- 58 merged
- 2 waiting
- Releases
- 8
- 1 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 91%
- Python 9%
- TeX <1%
- Shell <1%
Topics
- interatomic-potentials
- machine-learning
- quantum-chemistry
- benchmark-framework
- materials
- molecules
- benchmark
- machine-learning-potentials
- neural-network-potentials
Project record
- JobEvals and observability
- StatusListed
- Commits242
- Forks10
- Watching0
- Stars in 28 days0
- CreatedMar 24, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026