numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.
Open source
24 alternativesAccord.MachineLearning
vshyperopt
Accord.MachineLearning vs hyperopt
How do Accord.MachineLearning and hyperopt compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Accord.MachineLearning | hyperopt |
|---|---|---|
| What it is | The Accord.MachineLearning package includes .NET algorithms for support vector machines, decision trees, and clustering. | hyperopt-sklearn uses hyperparameter optimization to select machine learning algorithms for scikit-learn. |
| Website | ||
| Type | Website | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Not stated |
| Language | English | English |
| Alternatives |
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