Stars
Repository to the paper "Fast Approximate nearest neighbor search with the Dynamic Exploration Graph using continuous refinement"
Scalable DBSCAN and OPTICS for clustering high-dimensional datasets using random projections
A python package for inferring psychological embeddings.
Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.
Official repository for the official implementation of HyperBitT, HyperBitBit64, and HyperTwoBits
Companion repo for a NeurIPS 2022 paper "A Multilabel Classification Framework for Approximate Nearest Neighbor Search"
A Toolkit for Programming Parallel Algorithms on Shared-Memory Multicore Machines
Falconn++ is a locality-sensitive filtering (LSF) approach, built on top of cross-polytope LSH (FalconnLib) to answer approximate nearest neighbor search with inner product.
A nearest neighbor search library with exact and approximate algorithms
A library of algorithms for approximate nearest neighbor search in high dimensions, along with a set of useful tools for designing such algorithms.
magic-trace collects and displays high-resolution traces of what a process is doing
A Fast Parallel Algorithm for HDBSCAN* Clustering
Theoretically Efficient and Practical Parallel DBSCAN
A high performance implementation of HDBSCAN clustering.
All-pair set similarity search on millions of sets in Python and on a laptop
A repository to share papers/code/data/work on assessing the difficulty of workloads and generating it.
Differentially private kernel density estimation (DP-KDE) via Locality Sensitive Quantization (LSQ)
main site of the SISAP challenges
Generates synthetic data and user interfaces for privacy-preserving data sharing and analysis.
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
C++ implementations of Powersort and 4-way Powersort
Fast and compact minimal perfect hash functions in C++.