hdlib: A Python library for designing Vector-Symbolic Architectures

Vector-Symbolic Architectures (VSA, a.k.a. Hyperdimensional Computing) is an emerging computing paradigm that works by combining vectors in a high-dimensional space for representing and processing information. This approach has recently shown promise in various domains for dealing with different kind of computational problems.

hdlib is a Python library for designing Vector-Symbolic Architectures. Its code is available on GitHub at https://github.com/cumbof/hdlib and it is distributed under the MIT license as a Python package through PyPI and Conda on the conda-forge channel. GitHub releases are also available on Zenodo at https://doi.org/10.5281/zenodo.7996502. Documentation with examples of how to use the library is also available at https://github.com/cumbof/hdlib/wiki.