This metric-learn repository contains Python implementations of metric learning algorithms.
Open source
24 alternativesIntel(R) Extension for Scikit-learn
vsLearnergy
Intel(R) Extension for Scikit-learn vs Learnergy
How do Intel(R) Extension for Scikit-learn and Learnergy compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Intel(R) Extension for Scikit-learn | Learnergy |
|---|---|---|
| What it is | This Scikit-learn extension accelerates compatible applications through optimized implementations. | Learnergy is a Python library for energy-based machine learning models. |
| 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 Intel(R) Extension for Scikit-learn and Learnergy.
metric-learn provides Python implementations of metric learning algorithms.
Open source
24 alternatives
Karate Club offers algorithms for unsupervised learning on graph data in Python.
Open source
24 alternatives
FEDOT automates machine learning model development through its modeling framework.
Open source
24 alternatives
ML-Ensemble provides Python tools for high-performance ensemble learning with scikit-learn.
Open source
24 alternatives
Enables single machine or distributed training and evaluation of deep learning models.
Open source
24 alternatives