opytimizer
surrogate-models
| opytimizer | surrogate-models | |
|---|---|---|
| 7 | 1 | |
| 594 | 0 | |
| - | - | |
| 5.5 | 0.0 | |
| 5 months ago | about 3 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
opytimizer
-
[P] Opytimizer: A Nature-Inspired Python Optimizer
We do have a Simulated Annealing version designed to work with the library's structure: https://github.com/gugarosa/opytimizer/blob/master/opytimizer/optimizers/science/sa.py
-
Opytimizer: A Nature-Inspired Python Optimizer
Opytimizer: A Nature-Inspired Python Optimizer
Thanks mate! That would be a great addition indeed. We do have some examples over https://github.com/gugarosa/opytimizer/tree/master/examples/..., but they are not clearly depicted as the README would be. Thanks a lot!!
-
Gradient-Free-Optimizers A collection of modern optimization methods in Python
There's also Opytimizer [0] for almost every metaheuristic optimization algorithm under the Sun.
[0] https://github.com/gugarosa/opytimizer
surrogate-models
-
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
What are some alternatives?
BayesianOptimization - A Python implementation of global optimization with gaussian processes.
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.
optimization-tutorial - Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
sqpdfo - Sequential-Quadratic-Programming Derivative-Free Optimization
pybobyqa - Python-based Derivative-Free Optimization with Bound Constraints
flaxOptimizers - A collection of optimizers, some arcane others well known, for Flax.
lion-pytorch - 🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch