https://github.com/eugeniolr/evolml

Compilation of Machine Learning models and tools that use metaheuristic optimization. Every model is implemented as a scikit-learn style model and metaheuristics are implemented in the metaheuristic-designer framework.
https://github.com/eugeniolr/evolml

clustering feature-selection genetic-algorithm hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms metaheuristics scikit-learn sklearn

Last synced: 3 months ago
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Compilation of Machine Learning models and tools that use metaheuristic optimization. Every model is implemented as a scikit-learn style model and metaheuristics are implemented in the metaheuristic-designer framework.

• Host: GitHub
• URL: https://github.com/eugeniolr/evolml
• Owner: eugenioLR
• License: mit
• Created: 2023-11-03T11:28:29.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2026-03-04T17:48:05.000Z (4 months ago)
• Last Synced: 2026-03-05T00:07:25.451Z (4 months ago)
• Topics: clustering, feature-selection, genetic-algorithm, hyperparameter-optimization, hyperparameter-tuning, machine-learning, machine-learning-algorithms, metaheuristics, scikit-learn, sklearn
• Language: Python
• Homepage:
• Size: 2.13 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# EvolML

This is a machine learning library tightly integrated with metaheuristic-designer that combines evolutionary computing and stochastic optimization techniques with machine learning methods.

This library provides the following tools:

## Feature selection

## Hyperparameter optimization

## Machine learning models