Learnergy is a Python library for energy-based machine learning models.
Open source
24 alternativesHow do ParaMonte and metric-learn compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | ParaMonte | metric-learn |
|---|---|---|
| What it is | ParaMonte provides parallel Monte Carlo and machine learning tools across several programming languages. | metric-learn provides Python implementations of metric learning algorithms. |
| 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 |
Sites similar to both ParaMonte and metric-learn.
Learnergy is a Python library for energy-based machine learning models.
hyperopt-sklearn uses hyperparameter optimization to select machine learning algorithms for scikit-learn.
FEDOT automates machine learning model development through its modeling framework.
Enables single machine or distributed training and evaluation of deep learning models.
numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.
Detecto supports building and training computer vision models with the PyTorch machine learning framework.