FEDOT automates machine learning model development through its modeling framework.
Open source
24 alternativesHow do neural-fortran and metric-learn compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | neural-fortran | metric-learn |
|---|---|---|
| What it is | neural-fortran provides a parallel framework for deep learning in Fortran. | 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 |
Sites similar to both neural-fortran and metric-learn.
FEDOT automates machine learning model development through its modeling framework.
Karate Club offers algorithms for unsupervised learning on graph data in Python.
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Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.
metric-learn provides Python implementations of metric learning algorithms.
Enables single machine or distributed training and evaluation of deep learning models.