Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
-
Updated
Jun 19, 2025 - Python
#
vector-symbolic-architectures
Here are 16 public repositories matching this topic...
Cognitive Computing with Associative Memory
machine-learning algorithm machine-learning-algorithms artificial-intelligence neural-networks artificial-general-intelligence cognitive-science associative-memory content-addressable-storage sparse-distributed-memory sparse-representations self-supervised-learning vector-symbolic-architectures hyperdimensional-computing
-
Updated
Feb 11, 2024 - Mathematica
Hyperdimensional Computing Library for building Vector-Symbolic Architectures in Python 3
-
Updated
Apr 15, 2026 - Python
-
Updated
Jan 19, 2022 - MATLAB
GPU-accelerated neural network operations using Vulkan compute shaders.
open-source machine-learning opensource framework deep-learning amd vulkan python3 neural-networks experiments visual-reasoning hypernetworks world-models vector-symbolic-architectures vma block-codes pytorch-alternative cooperative-matrix i-raven-x i-raven
-
Updated
Apr 18, 2026 - Python
Probabilistic hyperdimensional computing.
machine-learning uncertainty-quantification bayesian-machine-learning hdc vsa conformal-prediction jax vector-symbolic-architectures hyperdimensional-computing probabilistic-computing
-
Updated
May 2, 2026 - Python
Repository for HYPERDOA: Robust and Efficient DoA Estimation using Hyperdimensional Computing
ai efficient estimation robust hdc doa direction-of-arrival symbolic-ai edge-ai vector-symbolic-architectures hyperdimensional-computing
-
Updated
Apr 30, 2026 - Python
🚀 Enhance direction-of-arrival estimation with HYPERDOA, a lightweight implementation using hyperdimensional computing for efficient signal processing in arrays.
ai efficient estimation robust hdc doa direction-of-arrival symbolic-ai edge-ai vector-symbolic-architectures hyperdimensional-computing
-
Updated
May 4, 2026 - Python
"VSA, Analogy, and Dynamic Similarity" presentation given at the Workshop on Developments in Hyperdimensional Computing and Vector Symbolic Architectures, Heidelberg, Germany, 2020-03-16.
-
Updated
May 20, 2020 - TeX
Publications by Peter Overmann
agi artificial-intelligence neural-networks autoencoder artificial-general-intelligence cognitive-science content-addressed sdm associative-memory hdc content-addressable-storage neocortex sparse-distributed-memory cerebellum vsa theoretical-neuroscience vector-symbolic-architectures hyperdimensional-computing
-
Updated
Apr 20, 2022
Hyperprobe is the Python implementation of the framework proposed in the paper "Hyperdimensional Probe: Decoding LLM Representations via Vector Symbolic Architectures".
language-models probes interpretability latent-representations vector-symbolic-architectures llms information-decoding residual-stream
-
Updated
Oct 3, 2025 - Python
Keynote presentation for the Midnight Sun Workshop on Vector Symbolic Architectures
conference presentation rstats hdc vsa quarto vector-symbolic-architectures hyperdimensional-computing vector-symbolic-architecture
-
Updated
Jun 24, 2023 - JavaScript
A quantum Hyper-Dimensional Computing (qHDC) framework in Qiskit.
-
Updated
Jan 9, 2025 - Jupyter Notebook
This project aims to develop a very basic Vector Symbolic Architecture model to use as a default model in my other VSA projects.
-
Updated
Apr 16, 2022 - R
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
-
Updated
Oct 11, 2021 - HTML
Research to use Vector Symbolic Architectures to implement altitude hold in a simulated multicopter.
-
Updated
Sep 12, 2021 - R
Improve this page
Add a description, image, and links to the vector-symbolic-architectures topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the vector-symbolic-architectures topic, visit your repo's landing page and select "manage topics."