surrogate-models
A collection of surrogate models for sequence model based optimization techniques (by SimonBlanke)
sqpdfo
Sequential-Quadratic-Programming Derivative-Free Optimization (by DLR-SC)
| surrogate-models | sqpdfo | |
|---|---|---|
| 1 | 1 | |
| 0 | 13 | |
| - | - | |
| 0.0 | 0.0 | |
| about 3 years ago | over 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
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.
surrogate-models
Posts with mentions or reviews of surrogate-models.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-28.
-
Gradient-Free-Optimizers A collection of modern optimization methods in Python
Yes it is quite easy to switch algorithms via the "gpr" parameter. You just have to write a wrapper class. I am currently working on a repository that discusses how to do that in detail: https://github.com/SimonBlanke/surrogate-models
sqpdfo
Posts with mentions or reviews of sqpdfo.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-28.
-
Gradient-Free-Optimizers A collection of modern optimization methods in Python
If you have an expensive but not high dimensional problem you might want to try https://github.com/DLR-SC/sqpdfo .
What are some alternatives?
When comparing surrogate-models and sqpdfo you can also consider the following projects:
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
BayesianOptimization - A Python implementation of global optimization with gaussian processes.
opytimizer - 🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
optimization-tutorial - Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
pybobyqa - Python-based Derivative-Free Optimization with Bound Constraints
surrogate-models vs Gradient-Free-Optimizers
sqpdfo vs Hyperactive
surrogate-models vs BayesianOptimization
sqpdfo vs opytimizer
surrogate-models vs Hyperactive
sqpdfo vs Gradient-Free-Optimizers
surrogate-models vs optimization-tutorial
sqpdfo vs optimization-tutorial
surrogate-models vs opytimizer
surrogate-models vs pybobyqa