Code-for-Numerical-Analysis-Executed-in-FORTRAN-and-MATLAB
pybobyqa
Code-for-Numerical-Analysis-Executed-in-FORTRAN-and-MATLAB | pybobyqa | |
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1 | 1 | |
12 | 72 | |
- | - | |
5.4 | 5.8 | |
5 months ago | about 1 month ago | |
MATLAB | Python | |
MIT License | GNU General Public License v3.0 only |
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Code-for-Numerical-Analysis-Executed-in-FORTRAN-and-MATLAB
pybobyqa
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Gradient-Free-Optimizers A collection of modern optimization methods in Python
I've used this, and it works nicely: https://github.com/numericalalgorithmsgroup/pybobyqa. I'd be happy if it were added to your project, then I could just use yours and have access to a bunch of alternatives with the same API.
What are some alternatives?
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.
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.
PyGenetic - A multi-purpose genetic algorithm written in python
WaveNCC - An app to compute the normalization coefficients of a given set of orthogonal 1D complex wave functions.
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
BayesianOptimization - A Python implementation of global optimization with gaussian processes.
probnum - Probabilistic Numerics in Python.
OMLT - Represent trained machine learning models as Pyomo optimization formulations
stable-fluids - A minimal Stable Fluids inspired fluid solver with Python and NumPy.
surrogate-models - A collection of surrogate models for sequence model based optimization techniques