A fast and scalable implementation of Locality Sensitive Hashing in Python.
pip install lsh-fastfrom lsh import HashParams, LSHHashFunctions
import numpy as np
# Initialize hash functions
params = HashParams(num_projections=100, projection_dim=1000)
hash_functions = LSHHashFunctions(params)
# Compute hash values for a vector
vector = np.random.randn(1000)
hash_values = hash_functions.compute_hash_values(vector)
# Compute bucket hashes
bucket_hashes = hash_functions.compute_bucket_hash(hash_values, band_size=10)- Fast and memory-efficient implementation
- Optimized for large-scale data
- Easy to use API
- Configurable parameters
MIT License