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

The Fuzzy-Pattern Tsetlin Machine library, with zero external dependencies, performs blazingly fast.

Cognitive Computing with Associative Memory

Accelerator for Hyperdimensional Computing (HDC)

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

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

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

An automated HDC platform

A Rust library for hyperdimensional computing (HDC)

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

HDC-X: A Hyperdimensional Computing Framework for Efficient Classification on Low-Power Devices

Holographic vectors you can compute with. Bind structure, bundle sets, unbind components cross NumPy, PyTorch, and JAX.

Repository for HYPERDOA: Robust and Efficient DoA Estimation using Hyperdimensional Computing

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

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.

Sub-linear knowledge retrieval via quantum-inspired hyperdimensional folded space (0.88ms @ 100% accuracy)

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

Software that builds itself, pays for its own inference, and gets better with every run.