This metric-learn repository contains Python implementations of metric learning algorithms.
Open source
24 alternativesDetermined
vshyperopt
Determined vs hyperopt
How do Determined and hyperopt compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Determined | hyperopt |
|---|---|---|
| What it is | Determined manages distributed model training, hyperparameter tuning, experiment tracking, and resources. | 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 |
Other options to consider
Sites similar to both Determined and hyperopt.
numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.
Open source
24 alternatives
metric-learn provides Python implementations of metric learning algorithms.
Open source
24 alternatives
Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.
Open source
24 alternatives
KerasTuner searches hyperparameters to optimize machine learning models built with Keras.
Open source
24 alternatives
autoai automates regression and classification modeling in Python through model search and hyperparameter tuning.
Open source
24 alternatives