Adam-Vandervorst/PyBHV
Boolean Hypervectors with various operators for experiments in hyperdimensional computing (HDC).
This project offers a specialized framework for researchers working with hyperdimensional computing (HDC) and large boolean vectors. It provides a toolkit for manipulating, analyzing, and experimenting with these high-dimensional binary patterns, helping to explore new computational paradigms. Users can input boolean vectors and apply various operations, metrics, and transformations, receiving insights into their properties and relationships.
Use this if you are a researcher or academic exploring novel computational architectures, particularly those involving hyperdimensional computing with boolean vectors, and need a robust framework for experimentation and analysis.
Not ideal if you need a stable library for production applications or want to work with data types other than booleans for hyperdimensional computing.
Stars
31
Forks
6
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
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