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Gradient-Free-Optimizers

SimonBlanke / Gradient-Free-Optimizers

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

machine-learning optimization constrained-optimization hyperparameter-optimization meta-heuristic simulated-annealing hill-climbing bayesian-optimization nelder-mead random-search particle-swarm-optimization evolution-strategies blackbox-optimization gradient-free-optimization tree-of-parzen-estimator hyperactive
  • Updated Dec 22, 2024
  • Python
Hyperactive

SimonBlanke / Hyperactive

Star 515

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

python data-science machine-learning deep-learning optimization scikit-learn parallel-computing keras pytorch model-selection xgboost hyperparameter-optimization feature-engineering bayesian-optimization automated-machine-learning parameter-tuning neural-architecture-search hyperactive
  • Updated Dec 9, 2024
  • Python

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