Hyperactive VS pybobyqa

Compare Hyperactive vs pybobyqa and see what are their differences.

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Hyperactive pybobyqa
8 1
490 71
- -
7.7 5.8
5 months ago 21 days ago
Python Python
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Hyperactive

Posts with mentions or reviews of Hyperactive. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-12.

pybobyqa

Posts with mentions or reviews of pybobyqa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-28.

What are some alternatives?

When comparing Hyperactive and pybobyqa you can also consider the following projects:

mango - Parallel Hyperparameter Tuning in Python

tf-quant-finance - High-performance TensorFlow library for quantitative finance.

opytimizer - 🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.

prima - PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.

OpenMetadata - Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.

PyGenetic - A multi-purpose genetic algorithm written in python

optuna-examples - Examples for https://github.com/optuna/optuna

WaveNCC - An app to compute the normalization coefficients of a given set of orthogonal 1D complex wave functions.

optimization-tutorial - Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.

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

anovos - Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark

BayesianOptimization - A Python implementation of global optimization with gaussian processes.