Karate Club offers algorithms for unsupervised learning on graph data in Python.
Open source
24 alternativesAutoGL
vsnumpy-ML
AutoGL vs numpy-ML
How do AutoGL and numpy-ML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | AutoGL | numpy-ML |
|---|---|---|
| What it is | AutoGL provides automated graph learning through a machine learning framework and toolkit. | numpy-ml collects machine learning algorithms in NumPy, presented as an intentionally readable Python package. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both AutoGL and numpy-ML.
Learnergy is a Python library for energy-based machine learning models.
Open source
24 alternatives
Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.
Open source
24 alternatives
FEDOT automates machine learning model development through its modeling framework.
Open source
24 alternatives
This metric-learn repository contains Python implementations of metric learning algorithms.
Open source
24 alternatives
Detecto supports building and training computer vision models with the PyTorch machine learning framework.
Open source
24 alternatives