This metric-learn repository contains Python implementations of metric learning algorithms.
Open source
24 alternativeshyperopt
vsKarate Club
hyperopt vs Karate Club
How do hyperopt and Karate Club compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | hyperopt | Karate Club |
|---|---|---|
| What it is | hyperopt-sklearn uses hyperparameter optimization to select machine learning algorithms for scikit-learn. | Karate Club offers algorithms for unsupervised learning on graph data in Python. |
| 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 Karate Club.
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
BayesO provides a Python package for Bayesian optimization algorithms and related modeling tasks.
Open source
24 alternatives
ML-Ensemble provides Python tools for high-performance ensemble learning with scikit-learn.
Open source
24 alternatives
Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.
Open source
24 alternatives