Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
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Updated
Nov 6, 2024 - Python
Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
UI Automation Framework for HarmonyOS NEXT | 鸿蒙NEXT自动化框架
FL-HDC: Hyperdimensional Computing Design for the Application of Federated Learning (IEEE AICAS2021)
Accelerator for Hyperdimensional Computing (HDC)
HD Radio SDR Receiver
A collection of Hyperdimensional Computing (HDC) models implemented in C++
Publications by Peter Overmann
An extended note on using Vector Symbolic Architectures to implement Next Generation Reservoir Computing
"VSA, Analogy, and Dynamic Similarity" presentation given at the Workshop on Developments in Hyperdimensional Computing and Vector Symbolic Architectures, Heidelberg, Germany, 2020-03-16.
A Hyperdimensional Bitset wrapper for the standard C++ bitset with parallel processing in mind
This project aims to develop a very basic Vector Symbolic Architecture model to use as a default model in my other VSA projects.
Keynote presentation for the Midnight Sun Workshop on Vector Symbolic Architectures
Data Compression Techniques Implementation in MATLAB
Python script om de PowerPoint presentatie voor de proclamatie van HDC te genereren.
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
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 hdc topic page so that developers can more easily learn about it.
To associate your repository with the hdc topic, visit your repo's landing page and select "manage topics."