Engineering @HENSOLDT | Author of Gradient-Free-Optimizers & @hyperactive-project
Gradient-Free-Optimizers. Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces
1.3koptimization-tutorial. Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
21Surfaces. Standardized test-functions for optimization algorithms and machine-learning
8search-data-explorer. Visualize search-data from your gradient-free-optimization run.
3ProgressBoard. Add on for Hyperactive package to visualize progress of optimization run.
3gradient-free-optimization-plots. Visualizations for the Gradient-Free-Optimizers and Hyperactive package
2Meta-Learn. Metalearning for Hyperparameter Optimization
2search-data-collector. Thread safe and atomic data collection into csv-files
2hyperactive-tutorials. Examples, notebooks and visualizations for the Hyperactive package
1meta-learning-esoc-project. Python
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