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