This metric-learn repository contains Python implementations of metric learning algorithms.
Open source
24 alternativeshyperopt
vsmlens
hyperopt vs mlens
How do hyperopt and mlens compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | hyperopt | mlens |
|---|---|---|
| What it is | hyperopt-sklearn uses hyperparameter optimization to select machine learning algorithms for scikit-learn. | ML-Ensemble provides Python tools for high-performance ensemble learning with scikit-learn. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both hyperopt and mlens.
numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.
Open source
24 alternatives
metric-learn provides Python implementations of metric learning algorithms.
Open source
24 alternatives
This Scikit-learn extension accelerates compatible applications through optimized implementations.
Open source
24 alternatives
Karate Club offers algorithms for unsupervised learning on graph data in Python.
Open source
24 alternatives
Use Learnergy, a Python library for training and working with energy-based machine learning models.
Open source
24 alternatives