numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.
Open source
24 alternativeshyperopt
vsmlforgex
hyperopt vs mlforgex
How do hyperopt and mlforgex compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | hyperopt | mlforgex |
|---|---|---|
| What it is | hyperopt-sklearn uses hyperparameter optimization to select machine learning algorithms for scikit-learn. | ML_Forgex trains, evaluates, and predicts with machine learning models on cleaned datasets. |
| 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 |
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