Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.
Open source
24 alternativesParaMonte
vshyperopt
ParaMonte vs hyperopt
How do ParaMonte and hyperopt compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | ParaMonte | hyperopt |
|---|---|---|
| What it is | ParaMonte provides parallel Monte Carlo and machine learning tools across several programming languages. | 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 | Not stated | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both ParaMonte and hyperopt.
Learnergy is a Python library for energy-based machine learning models.
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
Enables single machine or distributed training and evaluation of deep learning models.
Open source
24 alternatives
This metric-learn repository contains Python implementations of metric learning algorithms.
Open source
24 alternatives