Karate Club offers algorithms for unsupervised learning on graph data in Python.
Open source
24 alternativesHow do mlens and AutoGL compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | mlens | AutoGL |
|---|---|---|
| What it is | ML-Ensemble provides Python tools for high-performance ensemble learning with scikit-learn. | AutoGL provides automated graph learning through a machine learning framework and toolkit. |
| 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 |
Sites similar to both mlens and AutoGL.
Karate Club offers algorithms for unsupervised learning on graph data in Python.
Learnergy is a Python library for energy-based machine learning models.
Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.
FEDOT automates machine learning model development through its modeling framework.
Detecto supports building and training computer vision models with the PyTorch machine learning framework.
Enables single machine or distributed training and evaluation of deep learning models.