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Hyppopy is a Python-based toolbox for blackbox optimization. It attempts to find the best possible solution to a pre-defined objective functions. This can be for example the parameters of simulation or the hyperparameters of a machine learning models. Hyppopy offers a unified and easy-to-use interface to a collection of blackbox optimization solvers backends and algorithms:

  • Hyperopt
  • Optunity
  • Optuna
  • Bayesian Optimization
  • Random search
  • Grid search

The development of Hyppopy is mainly driven by our HAF partners from DKFZ.

Source Code

The source code of Hyppopy is available on GitHub: