MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
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Updated
Jun 4, 2024 - Python
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
A Java library implementing practical nearest neighbour search algorithm for multidimensional vectors that operates in sublinear time. It implements Locality-sensitive Hashing (LSH) and multi index hashing for hamming space.
Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents
A scalable nearest neighbor search library in Apache Spark
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
Weighted MinHash implementation on CUDA (multi-gpu).
Locality Sensitive Hashing in Rust with Python bindings
Near-duplicate image detection using Locality Sensitive Hashing
Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015
Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.
Locality Sensitive Hashing for Go (Multi-probe LSH, LSH Forest, basic LSH)
An implementation of locality sensitive hashing with Hadoop
LSH index for approximate set containment search
Quickly estimate the similarity between many sets
Easy-to-use Java similarity algorithms for text and numeric-series
[NAACL 2022]Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP)
A framework for index based similarity search.
SLIDE (Sub-LInear Deep learning Engine) written in Go
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