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#

bayesian-optimization

Here are 686 public repositories matching this topic...

nni

A Python implementation of global optimization with gaussian processes.

  • UpdatedJul 15, 2025
  • Python

Notebooks about Bayesian methods for machine learning

  • UpdatedMar 6, 2024
  • Jupyter Notebook
Gradient-Free-OptimizersSMAC3OCTIS

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

  • UpdatedFeb 11, 2025
  • Python

a distributed Hyperband implementation on Steroids

  • UpdatedOct 16, 2022
  • Python
Hyperactive

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

  • UpdatedOct 13, 2023
  • Jupyter Notebook

Experimental Global Optimization Algorithm

  • UpdatedJan 29, 2018
  • Python

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

  • UpdatedNov 6, 2023
  • Python

Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)

  • UpdatedOct 17, 2024
  • Python

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

  • UpdatedJul 11, 2025
  • Python

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