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benchmark

dbscan-python

Theoretically Efficient and Practical Parallel DBSCAN

diskann

Scalable graph based indices for approximate nearest neighbor search

dpc

dynhypercoredecomp

Fully dynamic approximate hypergraph k-core decomposition

edge-addition-planarity-suite

enclosure

fast_protein_cluster

GPU and SIMD accelerated RMSD and TMScore based clustering of protein models

fastcluster

Fast hierarchical clustering routines for R and Python.

functorch

functorch is JAX-like composable function transforms for PyTorch.

fx_module_dumps

Graph dump of torchbench models, huggingface models, and TIMM models.

gpdnn

Gaussian Process Framework for Deep Neural Networks

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

graph-mining

hclust-cpp

C++ fast hierarchical clustering algorithms

hdbscan

A high performance implementation of HDBSCAN clustering.

juliaparalleltoolbox

knngraph

lbimproved

Dynamic Time Warping (DTW) library implementing lower bounds (LB_Keogh, LB_Improved...)

leetcode-1

Leetcode in Python

mpi-scalablekmeanspp

This is a port of the scalable k-means++ (k-means||) to the OpenMPI framework

msvbase

MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relational database to facilitate complex approximate similarity queries.

multi-threaded-nn-chain

networkit

NetworKit is a growing open-source toolkit for large-scale network analysis.

par-filtered-graph-clustering

parchain

parchain-hac

pardpc

Repository for parallel clustering through Density-Peak Clustering

pargeo

parlayann

A library of algorithms for approximate nearest neighbor search in high dimensions, along with a set of useful tools for designing such algorithms.