Ville Hyvönen

vibe. Vector Index Benchmark for Embeddings (VIBE) is an extensible benchmark for approximate nearest neighbor search methods, or vector indexes, using modern embedding datasets.

mlann. [NeurIPS'22] A Multilabel Classification Framework for Approximate Nearest Neighbor Search

lorann. [NeurIPS'24] Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.

read.gt3x. R-package for reading Actigraph's binary activity data

r-source. Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.

mrpt-comparison. Performance comparison of the MRPT algorithm to other approximate nearest neighbor search libraries

dsm-framework. Distributed String Mining Framework

fsm-lite. C++

mrpt. Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search