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</h3>
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<p align="center">
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<a href="https://github.com/SimonBlanke/Gradient-Free-Optimizers/actions"><img src="https://img.shields.io/github/actions/workflow/status/SimonBlanke/Gradient-Free-Optimizers/ci.yml?style=flat-square&label=tests" alt="Tests"></a>
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<a href="https://app.codecov.io/gh/SimonBlanke/Gradient-Free-Optimizers"><img src="https://img.shields.io/codecov/c/github/SimonBlanke/Gradient-Free-Optimizers?style=flat-square" alt="Coverage"></a>
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<a href="https://github.com/SimonBlanke/Gradient-Free-Optimizers/actions"><img src="https://img.shields.io/github/actions/workflow/status/SimonBlanke/Gradient-Free-Optimizers/ci.yml?style=for-the-badge&logo=githubactions&logoColor=white&label=tests" alt="Tests"></a>
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<a href="https://app.codecov.io/gh/SimonBlanke/Gradient-Free-Optimizers"><img src="https://img.shields.io/codecov/c/github/SimonBlanke/Gradient-Free-Optimizers?style=for-the-badge&logo=codecov&logoColor=white" alt="Coverage"></a>
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Designed for hyperparameter tuning, simulation optimization, and any scenario where gradients are unavailable or impractical. The library prioritizes simplicity: define your objective function, specify the search space, and run. It serves as the optimization backend for [Hyperactive](https://github.com/SimonBlanke/Hyperactive) but can also be used standalone.
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<a href="https://www.linkedin.com/in/simon-blanke-b6228a1b3/"><img src="https://img.shields.io/badge/LinkedIn-Follow-0A66C2?style=flat-square&logo=linkedin" alt="LinkedIn"></a>
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<a href="https://github.com/sponsors/SimonBlanke"><img src="https://img.shields.io/badge/Sponsor-EA4AAA?style=flat-square&logo=githubsponsors&logoColor=white" alt="Sponsor"></a>
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<a href="https://www.linkedin.com/in/simonblanke/"><img src="https://img.shields.io/badge/LinkedIn-Follow-0A66C2?style=flat-square&logo=linkedin" alt="LinkedIn"></a>
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