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Benchmarks of approximate nearest neighbor libraries in Python
Created
2015-05-28
1,568 commits to main branch, last one about a month ago
For extensive instructor led learning
Created
2018-09-15
155 commits to master branch, last one 2 years ago
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
Created
2018-10-05
519 commits to master branch, last one 3 months ago
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
Created
2016-09-01
210 commits to main branch, last one 4 days ago
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Created
2020-06-15
850 commits to master branch, last one about a year ago
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing hig...
Created
2019-06-13
2,057 commits to branch-25.02 branch, last one 3 days ago
High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.
Created
2015-10-31
194 commits to master branch, last one about a month ago
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
Created
2017-05-19
203 commits to main branch, last one 23 days ago
cuVS - a library for vector search and clustering on the GPU
Created
2023-11-20
326 commits to branch-25.02 branch, last one a day ago
Performance-portable geometric search library
Created
2019-04-09
4,073 commits to master branch, last one 10 days ago
Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.
Created
2019-04-23
63 commits to master branch, last one 4 years ago
Improving Generalization via Scalable Neighborhood Component Analysis
Created
2018-08-14
12 commits to master branch, last one about a year ago
Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN
Created
2019-10-22
23 commits to master branch, last one 3 years ago
The code repository for the paper: Peijie et al., Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE TKDE, 2023.
Created
2024-05-28
12 commits to main branch, last one 5 months ago
A lightweight and efficient Python Morton encoder with support for geo-hashing
Created
2015-12-17
104 commits to master branch, last one 5 years ago
kNN-based next-basket recommendation
Created
2020-05-24
19 commits to master branch, last one 3 years ago
Compressing Representations for Self-Supervised Learning
Created
2020-06-24
178 commits to master branch, last one 3 years ago
PostgreSQL extension for spatial indexing on a sphere
Created
2015-03-28
383 commits to master branch, last one 5 months ago
Rcpp bindings for Annoy
Created
2014-11-08
269 commits to master branch, last one 14 days ago
Fast k-NN graph construction for slow metrics
Created
2021-03-12
72 commits to main branch, last one 2 years ago
R package providing fast nearest neighbour search (wraps ANN library)
Created
2013-07-23
194 commits to master branch, last one 3 months ago
A full-featured indoor positioning system that was developed during my master thesis. It has a javascript based rich UI and has a server-client architecture.
Created
2016-08-07
73 commits to main branch, last one 11 months ago
Python wrapper around C++ utilities for computing neighbors and local geometric features of a point cloud
Created
2022-11-17
81 commits to main branch, last one about a month ago
A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big dat...
Created
2019-12-13
467 commits to master branch, last one 3 years ago
All the code for a series of Medium articles on Approximate Nearest Neighbors
Created
2020-11-29
22 commits to main branch, last one 2 years ago
A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
Created
2021-05-05
60 commits to main branch, last one about a year ago
This is our standard library for nonlinear analysis. Many of these functions are the same we use in our services. We do have additional methods that are not public but could be made available in a fut...
Created
2021-05-14
83 commits to main branch, last one 10 months ago