pybobyqa VS optimization-tutorial

Compare pybobyqa vs optimization-tutorial and see what are their differences.

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pybobyqa optimization-tutorial
1 1
71 17
- -
5.8 0.0
18 days ago almost 2 years ago
Python Python
GNU General Public License v3.0 only MIT License
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.
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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.

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.

optimization-tutorial

Posts with mentions or reviews of optimization-tutorial. 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 pybobyqa and optimization-tutorial you can also consider the following projects:

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

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.

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

PyGenetic - A multi-purpose genetic algorithm written in python

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

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

surrogate-models - A collection of surrogate models for sequence model based optimization techniques

sigopt-server - Open Source version of SigOpt API, performing hyperparameter optimization and visualization