pybobyqa
Hyperactive
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| pybobyqa | Hyperactive | |
|---|---|---|
| 1 | 8 | |
| 71 | 490 | |
| - | - | |
| 5.8 | 7.7 | |
| 18 days ago | 5 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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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.
Hyperactive
- Hyperactive Version 4.5 Released
- Hyperactive: An optimization and data collection toolbox for AutoML
- Hyperactive: Optimize computationally expensive models with powerful algorithms
- Show HN: Hyperactive – A highly versatile AutoML Toolbox
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Hyperactive – Easy Neural Architecture Search for Deep Learning in Python
Check out the Neural Architecture Search Tutorial here: https://nbviewer.jupyter.org/github/SimonBlanke/hyperactive-...
Neural Architecture Search is just one of many optimization applications you can work on with Hyperactive. Check out the examples in the official github repository: https://github.com/SimonBlanke/Hyperactive/tree/master/examp...
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Gradient-Free-Optimizers A collection of modern optimization methods in Python
Gradient-Free-Optimizers is a lightweight optimization package that serves as a backend for Hyperactive: https://github.com/SimonBlanke/Hyperactive
Hyperactive can do parallel computing with multiprocessing or joblib, or a custom wrapper-function.
What are some alternatives?
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
mango - Parallel Hyperparameter Tuning in Python
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.
opytimizer - 🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
PyGenetic - A multi-purpose genetic algorithm written in python
OpenMetadata - Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
WaveNCC - An app to compute the normalization coefficients of a given set of orthogonal 1D complex wave functions.
optuna-examples - Examples for https://github.com/optuna/optuna
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
optimization-tutorial - Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
BayesianOptimization - A Python implementation of global optimization with gaussian processes.
anovos - Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark