This metric-learn repository contains Python implementations of metric learning algorithms.
Open source
24 alternativesnumpy-ML
vshyperopt
numpy-ML vs hyperopt
How do numpy-ML and hyperopt compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | numpy-ML | hyperopt |
|---|---|---|
| What it is | numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package. | hyperopt-sklearn uses hyperparameter optimization to select machine learning algorithms for scikit-learn. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Not stated |
| Language | English | English |
| Alternatives |
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