Hyperdimensional Computing Library for building Vector Symbolic Architectures in Python 3
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Updated
Mar 29, 2024 - Python
Hyperdimensional Computing Library for building Vector Symbolic Architectures in Python 3
Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
Much like the Bifrost connecting the nine-realms of the Marvel cinematic universe, the Hyperdimensional Frost (Highfrost) allows users direct access to the explore the application of vector symbolic architectures in a variety of application and experimental domains.
A Python-based library for developing and applying semantic pointers with CUDA acceleration.
Cognitive Computing with Associative Memory
Keynote presentation for the Midnight Sun Workshop on Vector Symbolic Architectures
Publications by Peter Overmann
This project aims to develop a very basic Vector Symbolic Architecture model to use as a default model in my other VSA projects.
Source code of the slides for the lecture "Analogical Reasoning" given on 2021-10-06 as Module 6 of Neuroscience 299: Computing with High-Dimensional Vectors at the Redwood Center for Theoretical Neuroscience, University of California, Berkeley
Research to use Vector Symbolic Architectures to implement altitude hold in a simulated multicopter.
"VSA, Analogy, and Dynamic Similarity" presentation given at the Workshop on Developments in Hyperdimensional Computing and Vector Symbolic Architectures, Heidelberg, Germany, 2020-03-16.
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