hyper-jax 0.0.1

Hyperdimensional computing with Jax

hyper-jax

Hyperdimensional computing with Jax. This library provides a very minimal implementation of MAP (Multiply, add, permute) operations over bipolar vectors originally proposed here.

Install

Coming soon...

How to use

Generate 2 random vectors with dimension of 10 000

from generator import random_vectors

dimensions = 10000
count = 2

key = random.PRNGKey(0)
vectors = random_vectors(key, dimensions, count)

Bundle two hypervectors

from operation import bundle, unbundle

hypervector = bundle(vectors[0], vectors[1])

Unbundle two hypervectors

# original_vector == vectors[0]
original_vector = unbundle(hypervector, vectors[1])

Bind two hypervectors

from operation import bind, unbind

bound_vector = bind(vectors[0], vectors[1])

Unbind the hypervector

# original_vector == vectors[1]
unbound_vector = unbind(bound_vector, vectors[0])