This metric-learn repository contains Python implementations of metric learning algorithms.
Open source
24 alternativesKarate Club
Karate Club offers algorithms for unsupervised learning on graph data in Python.
About Karate Club
Karate Club is an open-source Python framework for unsupervised learning on graph-structured data. It works as an extension library for NetworkX. A typical use loads a NetworkX graph, fits a model such as EgoNetSplitter, and reads cluster memberships with get_memberships.
Pricing is not clearly stated.
Key features
- Network embedding techniques at the node and graph level
- Overlapping community detection methods
- Non-overlapping community detection methods
- Graph classification datasets available at SNAP, TUD Graph Kernel Datasets, and GraphLearning.io
Best for: Small-scale graph mining research
Karate Club at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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