CarsonScott/Adaptive-Template-Model

Adaptive Template Model of Intelligence

13
/ 100
Experimental

This project helps scientists, researchers, or analysts who work with complex, interconnected datasets like social networks, molecular structures, or logistics graphs. It takes in a graph or network, along with a 'template' pattern you want to find, and outputs a map showing how similar different parts of your network are to that template. It's designed for anyone needing to identify specific structural relationships or abstract patterns within their data, beyond simple visual matching.

No commits in the last 6 months.

Use this if you need to detect complex, non-visual patterns and relationships within graph or network data, and want to do so efficiently by 'template matching' abstract structures.

Not ideal if your problem involves recognizing patterns only in traditional image data or simple vector spaces, as this tool is specifically for more abstract, topological structures.

network-analysis graph-pattern-recognition complex-systems data-mining structural-similarity
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 0 / 25

How are scores calculated?

Stars

10

Forks

Language

Python

License

Last pushed

Sep 10, 2017

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/CarsonScott/Adaptive-Template-Model"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.