numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.
Open source
24 alternativesHow do Accord.MachineLearning and FEDOT compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Accord.MachineLearning | FEDOT |
|---|---|---|
| What it is | The Accord.MachineLearning package includes .NET algorithms for support vector machines, decision trees, and clustering. | FEDOT automates machine learning model development through its modeling framework. |
| 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 |
Sites similar to both Accord.MachineLearning and FEDOT.
numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package.
Enables single machine or distributed training and evaluation of deep learning models.
Learnergy is a Python library for energy-based machine learning models.
Karate Club offers algorithms for unsupervised learning on graph data in Python.
This metric-learn repository contains Python implementations of metric learning algorithms.
metric-learn provides Python implementations of metric learning algorithms.