Project Name	Stars	Repos Using This	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Bayesianoptimization	7,540	46	69	2 months ago	14	April 25, 2023	15	mit	Python
A Python implementation of global optimization with gaussian processes.
Scikit Optimize	2,700	80	191	6 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	5 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	5 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	6 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	7 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 ⭐ 7,540

A Python implementation of global optimization with gaussian processes.

dependent packages 69total releases 14most recent commit 2 months ago

Scikit Optimize ⭐ 2,700

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Ax ⭐ 2,217

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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.

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Gradient Free Optimizers ⭐ 1,072

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

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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)

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Hyperactive ⭐ 475

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Simple ⭐ 432

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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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Mopti vs Bayesianoptimization

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