Gradient-Free-Optimizers
pybobyqa
| Gradient-Free-Optimizers | pybobyqa | |
|---|---|---|
| 11 | 1 | |
| 1,108 | 72 | |
| - | - | |
| 5.0 | 5.8 | |
| 5 days ago | 27 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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Gradient-Free-Optimizers
- Show HN: Gradient-Free-Optimizers supports constrained optimization in v1.3
- Gradient-Free-Optimizers version 1.2 released
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Gradient-Free-Optimizers A collection of modern optimization methods in Python
I would be very disappointed if that were the case.. no, it looks like it’s set up to capture variance. The BO algo wraps an “Expected Improvement Optimizer”:
https://github.com/SimonBlanke/Gradient-Free-Optimizers/blob...
Which selects new points based on both the model’s mean estimate and its variance. See around line 58
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Hacker News top posts: Feb 28, 2021
Gradient-Free-Optimizers A collection of modern optimization methods in Python\ (0 comments)
- SimonBlanke/Gradient-Free-Optimizers A collection of modern optimization methods in Python
- Gradient-Free-Optimizers: A collection of modern optimization methods in Python
- Optimize any Python function with modern algorithms in numerical search spaces
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.
opytimizer - 🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
surrogate-models - A collection of surrogate models for sequence model based optimization techniques
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.
optimization-tutorial - Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
PyGenetic - A multi-purpose genetic algorithm written in python
urh - Universal Radio Hacker: Investigate Wireless Protocols Like A Boss
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.