Project Name	Stars	Repos Using This	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Bayesianoptimization	7,481	46	69	25 days ago	14	April 25, 2023	15	mit	Python
A Python implementation of global optimization with gaussian processes.
Scikit Optimize	2,700	80	191	3 months ago	19	October 12, 2021	320	bsd-3-clause	Python
Sequential model-based optimization with a `scipy.optimize` interface
Ax	2,217	2	26	3 months ago	39	December 09, 2023	68	mit	Python
Adaptive Experimentation Platform
Spearmint	1,310			7 years ago			47		Python
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
Vizier	1,142		3	3 months ago	35	November 30, 2023	44	apache-2.0	Python
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Gradient Free Optimizers	1,072		7	4 months ago	45	December 29, 2022	7	mit	Python
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Hyperparameter Optimization Of Machine Learning Algorithms	1,025			2 years ago				mit	Jupyter Notebook
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Hyperactive	475		5	4 months ago	75	October 24, 2023	8	mit	Python
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Simple	432			6 years ago			3	agpl-3.0	Python
Experimental Global Optimization Algorithm
Sherpa	294	1	3	4 years ago	8	November 23, 2019	13	other	JavaScript
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

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Bayesianoptimization ⭐ 7,481

A Python implementation of global optimization with gaussian processes.

dependent packages 69total releases 14most recent commit 25 days ago

Scikit Optimize ⭐ 2,700

Sequential model-based optimization with a `scipy.optimize` interface

dependent packages 191total releases 19most recent commit 3 months ago

Ax ⭐ 2,217

Adaptive Experimentation Platform

dependent packages 26total releases 39most recent commit 3 months ago

Spearmint ⭐ 1,310

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

most recent commit 7 years ago

Vizier ⭐ 1,142

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

dependent packages 3total releases 35most recent commit 3 months ago

Gradient Free Optimizers ⭐ 1,072

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

dependent packages 7total releases 45most recent commit 4 months ago

pypi gradient-free-optimizers} Downloads

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

most recent commit 2 years ago

Hyperactive ⭐ 475

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

dependent packages 5total releases 75most recent commit 4 months ago

Simple ⭐ 432

Experimental Global Optimization Algorithm

most recent commit 6 years ago

Sherpa ⭐ 294

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

dependent packages 3total releases 8most recent commit 4 years ago

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Mlr3mbo vs Bayesianoptimization

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Mlr3mbo vs Hyperparameter Optimization Of Machine Learning Algorithms

Mlr3mbo vs Hyperactive

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