Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Annoy | 11,776 | 180 | 93 | 8 months ago | 47 | June 14, 2023 | 53 | apache-2.0 | C++ | |
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk | ||||||||||
Falconn | 1,123 | 5 years ago | 50 | mit | C | |||||
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing) | ||||||||||
Soundfingerprinting | 901 | 13 | 10 | 19 days ago | 136 | November 30, 2023 | 8 | mit | C# | |
Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#. | ||||||||||
Elastiknn | 347 | 2 | 3 months ago | 29 | September 27, 2021 | 13 | apache-2.0 | Scala | ||
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms. | ||||||||||
Fly Lsh | 48 | 5 years ago | 1 | mit | Python | |||||
An implementation of efficient LSH inspired by fruit fly brain | ||||||||||
Flinng | 15 | 4 months ago | mit | C++ | ||||||
A fast high dimensional near neighbor search algorithm based on group testing and locality sensitive hashing | ||||||||||
Nearest Neighbor Search | 7 | 7 months ago | mit | C++ | ||||||
Nearest neighbor search. Methods: LSH, hypercube, and exhaustive search. C++ | ||||||||||
P2hnns | 6 | 3 years ago | mit | C++ | ||||||
Point-to-Hyperplane Nearest Neighbor Search Beyond the Unit Hypersphere (SIGMOD 2021) | ||||||||||
Qalsh_mem | 6 | 3 years ago | gpl-3.0 | C++ | ||||||
Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search (Memory Version of QALSH) | ||||||||||
Machine Learning Clustering Retrieval | 6 | 6 years ago | Jupyter Notebook | |||||||
Built text and image clustering models using unsupervised machine learning algorithms such as nearest neighbors, k means, LDA , and used techniques such as expectation maximization, locality sensitive hashing, and gibbs sampling in Python |