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Thinking about optimization algorithms
🎯
Thinking about optimization algorithms

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  1. Hyperactive Hyperactive Public

    An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

    Python 514 42

  2. Gradient-Free-Optimizers Gradient-Free-Optimizers Public

    Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

    Python 1.2k 84

  3. Surfaces Surfaces Public

    A collection and visualization of single objective black-box functions for optimization benchmarking.

    Python 1

  4. optimization-tutorial optimization-tutorial Public

    Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.

    Python 19 3

  5. search-data-explorer search-data-explorer Public

    Visualize search-data from your gradient-free-optimization run.

    Python 3 1