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blackbox-optimization

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PKU-DAIR / mindware

Star 60

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

python distributed-systems data-science machine-learning deep-learning ensemble-learning bayesian-optimization neural-architecture-search meta-learning hyper-parameter-optimization blackbox-optimization automl-algorithms automl-pipeline knobs-tuning
  • Updated Nov 11, 2025
  • Python
Gradient-Free-Optimizers

SimonBlanke / Gradient-Free-Optimizers

Star 1.3k

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 Oct 4, 2025
  • Python
sambo

sambo-optimization / sambo

Star 24

🎯 📈 Sequential and Model-Based Optimization in Python, featuring SCE-UA, SMBO, and SHGO algorithms. No deps — SOTA perfomance.

machine-learning scikit-learn optimize scientific-computing hyperparameter-optimization bayesopt global-optimization optimization-tools bayesian-optimization hyperparameter-tuning optimization-algorithms global-optimization-algorithms partial-dependence-plot hyperparameter-search hydrological-modelling blackbox-optimization surrogate-based-optimization scikit-optimize sce-ua scipy-optimize
  • Updated Jul 10, 2025
  • Python

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