Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures

Cognitive Computing with Associative Memory

Accelerator for Hyperdimensional Computing (HDC)

Boolean Hypervectors with various operators for experiments in hyperdimensional computing (HDC).

Hyperdimensional Computing Library for building Vector Symbolic Architectures in Python 3

A collection of Hyperdimensional Computing (HDC) models implemented in C++

A library for training and running HDC models on embedded devices.

Contributions to my area of research as a research assistant at ULL in Hyperdimensional Computing (HDC)

"VSA, Analogy, and Dynamic Similarity" presentation given at the Workshop on Developments in Hyperdimensional Computing and Vector Symbolic Architectures, Heidelberg, Germany, 2020-03-16.

An extended note on using Vector Symbolic Architectures to implement Next Generation Reservoir Computing

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.

LLY-HDC uses hyperdimesnional computing and neurosymbolic AI to implement a high-performance AI model on quantum computers

Keynote presentation for the Midnight Sun Workshop on Vector Symbolic Architectures

A Hyperdimensional Bitset wrapper for the standard C++ bitset with parallel processing in mind

Erlang example - hyper dimensional vectors

Generate a website that demonstrates the action of Vector Symbolic Architecture operators by projecting the hypervectors to the surface of a sphere.

Research to use Vector Symbolic Architectures to implement altitude hold in a simulated multicopter.

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