CLAIRE-Labo / EvoTune
Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.
Why this job: says: reinforcement learning; topics: reinforcement-learning
What it does
The core codebase lives under src/ and is organized as follows:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 11 months ago
- Stars
- 146
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 84% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 84%
- Shell 13%
- Dockerfile 4%
Topics
- algorithm-discovery
- combinatorial-optimization
- evolutionary-search
- large-language-models
- llm
- reinforcement-learning
Project record
- JobFine-tuning
- StatusListed
- Commits8
- Forks12
- Watching8
- Stars in 28 days+2
- CreatedMar 24, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026