This metric-learn repository contains Python implementations of metric learning algorithms.
Open source
24 alternativeshyperopt
vsIntel(R) Extension for Scikit-learn
hyperopt vs Intel(R) Extension for Scikit-learn
How do hyperopt and Intel(R) Extension for Scikit-learn compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | hyperopt | Intel(R) Extension for Scikit-learn |
|---|---|---|
| What it is | hyperopt-sklearn uses hyperparameter optimization to select machine learning algorithms for scikit-learn. | This Scikit-learn extension accelerates compatible applications through optimized implementations. |
| 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 Intel(R) Extension for Scikit-learn.
metric-learn provides Python implementations of metric learning algorithms.
Open source
24 alternatives
ML-Ensemble provides Python tools for high-performance ensemble learning with scikit-learn.
Open source
24 alternatives
Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.
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