Hyperdimensional computing with Jax
Project description
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])
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