Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
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Updated
Sep 1, 2024 - Python
Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
Hyperdimensional Computing Library for building Vector Symbolic Architectures in Python 3
LLY-HDC uses hyperdimesnional computing and neurosymbolic AI to implement a high-performance AI model on quantum computers
HDCpy: An easy-to-use Python library for Hyperdimensional Computing (HDC) research.
A collection of Hyperdimensional Computing (HDC) models implemented in C++
Accelerator for Hyperdimensional Computing (HDC)
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.
Cognitive Computing with Associative Memory
Boolean Hypervectors with various operators for experiments in hyperdimensional computing (HDC).
Examples of MNIST classifier using hyperdimentional computing
Contributions to my area of research as a research assistant at ULL in Hyperdimensional Computing (HDC)
Generate a website that demonstrates the action of Vector Symbolic Architecture operators by projecting the hypervectors to the surface of a sphere.
Keynote presentation for the Midnight Sun Workshop on Vector Symbolic Architectures
A library for training and running HDC models on embedded devices.
An extended note on using Vector Symbolic Architectures to implement Next Generation Reservoir Computing
Vector Symbolic Architecture (VSA) primitives for experimentation
A Hyperdimensional Bitset wrapper for the standard C++ bitset with parallel processing in mind
Publications by Peter Overmann
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