rodrigo-arenas / Sklearn-genetic-opt
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Hyperparameter tuning and feature selection for scikit-learn models using genetic algorithms.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit yesterday
- Stars
- 393
- +2 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.14.0
- Released 33 days ago
- Built with
- Python
- 96% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 97% closed
- 4 still open
- Pull requests
- 222 merged
- 0 waiting
- Releases
- 24
- 5 in the last year
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More: languages, topics and project record
Languages
- Python 96%
- Vue 2%
- TypeScript 2%
- JavaScript <1%
Topics
- python
- scikit-learn
- machine-learning
- artificial-intelligence
- model-selection
- hyperparameter-optimization
- automl
- evolutionary-algorithms
- sklearn
- feature-selection
- cross-validation
- feature-engineering
Project record
- JobOther AI tools
- StatusListed
- Commits878
- Forks140
- Watching7
- Stars in 28 days+4
- CreatedJan 18, 2020
- First seen by usNov 7, 2026
- CheckedNov 12, 2026