Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
-
Updated
Jun 19, 2025 - Python
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
Hyperdimensional computing in JAX, with statistical guarantees.
Boolean Hypervectors with various operators for experiments in hyperdimensional computing (HDC).
An automated HDC platform
A collection of Hyperdimensional Computing (HDC) models implemented in C++
A Rust library for hyperdimensional computing (HDC)
HDC-X: A Hyperdimensional Computing Framework for Efficient Classification on Low-Power Devices
A chef's palate for AI agent memory; Un-mix any day's work into its exact projects, and detect workstreams nobody has named yet. Hyperdimensional fingerprints, zero dependencies.
A computational foundation for AGI based on hyperdimensional computing and set theory.
Holographic vectors you can compute with. Bind structure, bundle sets, unbind components cross NumPy, PyTorch, and JAX.
A library for training and running HDC models on embedded devices.
A cognitive substrate for AI agents — hyperdimensional memory with first-class goals, beliefs, sensory, self-model, and a non-destructive unlearn primitive. Rust top to bottom, embedded-first, no LLM in the read path. One binary, no query language.
High-performance Holographic Memory System (HMS) for Node.js, powered by Rust. This library implements Vector Symbolic Architectures (VSA) using Binary Spatter Code (BSC) to enable semantic search, analogical reasoning, and associative memory at scale.
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."