numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.
Open source
24 alternativesHow do metric-learn and bayeso compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | metric-learn | bayeso |
|---|---|---|
| What it is | metric-learn provides Python implementations of metric learning algorithms. | BayesO provides a Python package for Bayesian optimization algorithms and related modeling tasks. |
| 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 metric-learn and bayeso.
numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.
This metric-learn repository contains Python implementations of metric learning algorithms.
Karate Club offers algorithms for unsupervised learning on graph data in Python.
pomegranate provides flexible probabilistic modeling tools and algorithms for Python users.
Learnergy is a Python library for energy-based machine learning models.
ML-Ensemble provides Python tools for high-performance ensemble learning with scikit-learn.