BayesO provides a Python package for Bayesian optimization algorithms and related modeling tasks.
Open source
24 alternativesScikit-Opt
vsOpytimizer
Scikit-Opt vs Opytimizer
How do Scikit-Opt and Opytimizer compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Scikit-Opt | Opytimizer |
|---|---|---|
| What it is | Scikit-Opt provides genetic algorithms, particle swarm optimization, simulated annealing, ant colony optimization, and other search algorithms. | Opytimizer provides Python implementations of metaheuristic optimization algorithms for search problems. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Scikit-Opt and Opytimizer.
This metric-learn repository contains Python implementations of metric learning algorithms.
Open source
24 alternatives
metric-learn provides Python implementations of metric learning algorithms.
Open source
24 alternatives
Karate Club offers algorithms for unsupervised learning on graph data in Python.
Open source
24 alternatives
This Scikit-learn extension accelerates compatible applications through optimized implementations.
Open source
24 alternatives
TensorFlow Model Optimization provides Keras and TensorFlow tools for model quantization and pruning.
Open source
24 alternatives