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

Cognitive Computing with Associative Memory

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

An automated HDC platform

Hyperdimensional Computing Library for building Vector-Symbolic Architectures in Python 3

This project aims to develop a very basic Vector Symbolic Architecture model to use as a default model in my other VSA projects.

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

Vector Symbolic Architecture (VSA) primitives for experimentation

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

Accelerator for Hyperdimensional Computing (HDC)

Erlang example - hyper dimensional vectors

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

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

[code] Behavioral Time Scale Synaptic Plasticity (BTSP) endows Hyperdimensional Computing with brain-like information retrieval flexibility

Keynote presentation for the Midnight Sun Workshop on Vector Symbolic Architectures

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

Publications by Peter Overmann

Prototype-Based Classifier for Disease Classification

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