numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.
Open source
24 alternativesAccord.MachineLearning
vsbayeso
Accord.MachineLearning vs bayeso
How do Accord.MachineLearning and bayeso compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Accord.MachineLearning | bayeso |
|---|---|---|
| What it is | The Accord.MachineLearning package includes .NET algorithms for support vector machines, decision trees, and clustering. | BayesO provides a Python package for Bayesian optimization algorithms and related modeling tasks. |
| Website | ||
| Type | Website | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Accord.MachineLearning and bayeso.
Karate Club offers algorithms for unsupervised learning on graph data in Python.
Open source
24 alternatives
This metric-learn repository contains Python implementations of metric learning algorithms.
Open source
24 alternatives
pomegranate provides flexible probabilistic modeling tools and algorithms for Python users.
Open source
24 alternatives
metric-learn provides Python implementations of metric learning algorithms.
Open source
24 alternatives
Learnergy is a Python library for energy-based machine learning models.
Open source
24 alternatives