Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
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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
Boolean Hypervectors with various operators for experiments in hyperdimensional computing (HDC).
SWIR hyperspectral sensing for denied-environment ISR and materials discrimination. UAV-mounted 400-2500 nm imaging with edge-deployed CNN/SNN inference for contaminant detection and terrain/materials characterization in austere, offline environments.
Hyperdimensional computing with statistical guarantees: calibrated probabilities, conformal prediction sets, anomaly detection with a guaranteed false-positive rate
An automated HDC platform
A collection of Hyperdimensional Computing (HDC) models implemented in C++
Nazgul is a unified C++/Python framework for time-optimal multi-joint trajectory planning (inherited from LongTermPlanner) and edge-efficient hyperdimensional computing (imported from Arthedain), providing a VSA backend factory with 8 algebras, HDC energy analysis at 45nm CMOS
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 library for training and running HDC models on embedded 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
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