nickware-group/interference
Interference library
This library helps C++ and Python developers integrate advanced, neurobiology-inspired machine learning directly into their applications. It takes raw data like images, sounds, or other signals and processes them through a unique spatial neural network architecture. The output can be classifications, anomaly detections, or recognized patterns. Developers working on embedded systems, real-time applications, or powerful computing clusters will find this useful.
Use this if you are a C++ or Python developer building applications that require sophisticated pattern recognition, classification, or anomaly detection using a novel, biologically-inspired neural network approach, especially for resource-constrained embedded systems or high-performance computing.
Not ideal if you are a data scientist or machine learning engineer looking for a high-level Python library for standard deep learning tasks or off-the-shelf models, as this is a lower-level C++ framework with Python bindings.
Stars
11
Forks
2
Language
C++
License
MIT
Category
Last pushed
Mar 17, 2026
Commits (30d)
0
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