bayesian-optimization
Here are 686 public repositories matching this topic...
Language:All
Sort:Most stars
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
- Updated
Jul 3, 2024 - Python
A Python implementation of global optimization with gaussian processes.
- Updated
Jul 15, 2025 - Python
Automated Machine Learning with scikit-learn
- Updated
Jun 26, 2025 - Python
Sequential model-based optimization with a `scipy.optimize` interface
- Updated
Feb 23, 2024 - Python
A modular active learning framework for Python
- Updated
Feb 26, 2024 - Python
Notebooks about Bayesian methods for machine learning
- Updated
Mar 6, 2024 - Jupyter Notebook
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
- Updated
Jul 17, 2025 - Python
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
- Updated
Sep 22, 2022 - Jupyter Notebook
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
- Updated
Jul 14, 2025 - Python
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
- Updated
Jul 15, 2025 - Python
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
- Updated
Jul 25, 2024 - Python
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
- Updated
Feb 11, 2025 - Python
a distributed Hyperband implementation on Steroids
- Updated
Oct 16, 2022 - Python
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
- Updated
Jul 8, 2025 - Python
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
- Updated
Oct 13, 2023 - Jupyter Notebook
Experimental Global Optimization Algorithm
- Updated
Jan 29, 2018 - Python
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
- Updated
Nov 6, 2023 - Python
Parallel Hyperparameter Tuning in Python
- Updated
Feb 21, 2025 - Jupyter Notebook
Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)
- Updated
Oct 17, 2024 - Python
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
- Updated
Jul 11, 2025 - Python
Improve this page
Add a description, image, and links to thebayesian-optimization topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thebayesian-optimization topic, visit your repo's landing page and select "manage topics."