sporco
pybobyqa
| sporco | pybobyqa | |
|---|---|---|
| 1 | 1 | |
| 261 | 79 | |
| - | - | |
| 3.9 | 6.6 | |
| 6 months ago | 29 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 only |
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sporco
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?
xtensor-signal - Signal processing features based on xtensor
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
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.
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
OMLT - Represent trained machine learning models as Pyomo optimization formulations
PyGenetic - A multi-purpose genetic algorithm written in python
probnum - Probabilistic Numerics in Python.
Code-for-Numerical-Analysis-Executed-in-FORTRAN-and-MATLAB - This is a Git repository containing code for a numerical analysis lab using Fortran and MATLAB
WaveNCC - An app to compute the normalization coefficients of a given set of orthogonal 1D complex wave functions.
BayesianOptimization - A Python implementation of global optimization with gaussian processes.
surrogate-models - A collection of surrogate models for sequence model based optimization techniques