BayesO provides a Python package for Bayesian optimization algorithms and related modeling tasks.
Open source
24 alternativesHow do Scikit-Opt and metric-learn compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Scikit-Opt | metric-learn |
|---|---|---|
| What it is | Scikit-Opt provides genetic algorithms, particle swarm optimization, simulated annealing, ant colony optimization, and other search algorithms. | This metric-learn repository contains Python implementations of metric learning algorithms. |
| 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 |
Sites similar to both Scikit-Opt and metric-learn.
BayesO provides a Python package for Bayesian optimization algorithms and related modeling tasks.
metric-learn provides Python implementations of metric learning algorithms.
Karate Club offers algorithms for unsupervised learning on graph data in Python.
numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.
This Scikit-learn extension accelerates compatible applications through optimized implementations.
ML-Ensemble provides Python tools for high-performance ensemble learning with scikit-learn.