PyHDC
A Python library for Hyperdimensional Computing (HDC) and Vector Symbolic Architectures (VSA).
Full documentation: https://pyhdc.readthedocs.io/en/latest/
Overview
PyHDC provides a unified interface for working with high-dimensional binary and continuous vectors used in HDC/VSA-based computing. It supports multiple encoding schemes, pluggable pseudorandom generators, and both NumPy and PyTorch backends.
Installation
pip install PyHDC
Quick Start
import pyhdc as hdc
# Create an encoding
enc = hdc.MAP_C(dimension=10_000)
# Generate hypervectors
v1 = enc.generate()
v2 = enc.generate()
# Core operations
bundled = v1.bundle(v2) # superposition
bound = v1.bind(v2) # association
sim = v1.similarity(v2) # similarity score
Features
- 14 encoding schemes: MAP-C, MAP-I, MAP-I Bits, MAP-B, HRR, HRR (no norm), HRR (const norm), FHRR, VTB, MBAT, BSC, BSDC-CDT, BSDC-S, BSDC-SEG
- 7 generator families: LCG, Fibonacci/Galois LFSR, DLFSR, LCA, PCG, Xorshift, Shifted Counter
- NumPy and PyTorch backends with optional GPU support
- Composable operations: bind, bundle, unbind, similarity, thinning
- Custom encodings: extend
Encodingwith your ownEncodingSpec - Type-annotated throughout
License
MIT LICENSE.
1 maintainer
Metadata
1 maintainer
Release files for PyHDC 2.2.2
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Source distribution (sdist)
| File | Size | Uploaded | |
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| pyhdc-2.2.2.tar.gz | 107.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyhdc-2.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 208.7 kB
Release files / pyhdc-2.2.2.tar.gz
| Download URL | pyhdc-2.2.2.tar.gz |
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| Size | 107.1 kB |
| Tags | Source |
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| Tags | Python 3 |
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