Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
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Updated
Feb 8, 2025 - Python
Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
Cognitive Computing with Associative Memory
Hyperdimensional Computing Library for building Vector Symbolic Architectures in Python 3
Publications by Peter Overmann
"VSA, Analogy, and Dynamic Similarity" presentation given at the Workshop on Developments in Hyperdimensional Computing and Vector Symbolic Architectures, Heidelberg, Germany, 2020-03-16.
Keynote presentation for the Midnight Sun Workshop on Vector Symbolic Architectures
[code] Behavioral Time Scale Synaptic Plasticity (BTSP) endows Hyperdimensional Computing with brain-like information retrieval flexibility
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.
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