Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
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Updated
Mar 18, 2024 - Python
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 library for training and running HDC models on embedded devices.
A collection of Hyperdimensional Computing (HDC) models implemented in C++
"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
Contributions to my area of research as a research assistant at ULL in Hyperdimensional Computing (HDC)
This project aims to develop a very basic Vector Symbolic Architecture model to use as a default model in my other VSA projects.
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.
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
LLY-HDC uses hyperdimesnional computing and neurosymbolic AI to implement a high-performance AI model on quantum computers
Generate a website that demonstrates the action of Vector Symbolic Architecture operators by projecting the hypervectors to the surface of a sphere.
Add a description, image, and links to the hyperdimensional-computing topic page so that developers can more easily learn about it.
To associate your repository with the hyperdimensional-computing topic, visit your repo's landing page and select "manage topics."