metric-learn provides Python implementations of metric learning algorithms.
Open source
24 alternativesmlens
vsmetric-learn
mlens vs metric-learn
How do mlens and metric-learn compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | mlens | metric-learn |
|---|---|---|
| What it is | ML-Ensemble provides Python tools for high-performance ensemble learning with scikit-learn. | 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 |
Other options to consider
Sites similar to both mlens and metric-learn.
Karate Club offers algorithms for unsupervised learning on graph data in Python.
Open source
24 alternatives
numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.
Open source
24 alternatives
This Scikit-learn extension accelerates compatible applications through optimized implementations.
Open source
24 alternatives
Learnergy is a Python library for energy-based machine learning models.
Open source
24 alternatives
BayesO provides a Python package for Bayesian optimization algorithms and related modeling tasks.
Open source
24 alternatives