KerasTuner searches hyperparameters to optimize machine learning models built with Keras.
Open source
24 alternativeshyperopt
vsKatib
hyperopt vs Katib
How do hyperopt and Katib compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | hyperopt | Katib |
|---|---|---|
| What it is | hyperopt-sklearn uses hyperparameter optimization to select machine learning algorithms for scikit-learn. | Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search. |
| 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 |
Other options to consider
Sites similar to both hyperopt and Katib.
autoai automates regression and classification modeling in Python through model search and hyperparameter tuning.
Open source
24 alternatives
numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.
Open source
24 alternatives
FEDOT automates machine learning model development through its modeling framework.
Open source
24 alternatives
AutoGL provides automated graph learning through a machine learning framework and toolkit.
Open source
24 alternatives
This metric-learn repository contains Python implementations of metric learning algorithms.
Open source
24 alternatives