27 results found Sort:

Benchmarks of approximate nearest neighbor libraries in Python
Created 2015-05-28
1,575 commits to main branch, last one 8 days 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 4 months ago
118
1.3k
apache-2.0
37
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
Created 2016-09-01
216 commits to main branch, last one a day ago
105
1.0k
apache-2.0
28
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
199
824
apache-2.0
23
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
2,079 commits to branch-25.02 branch, last one 10 hours 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 2 months ago
37
321
other
24
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 2 months ago
78
279
apache-2.0
14
cuVS - a library for vector search and clustering on the GPU
Created 2023-11-20
364 commits to branch-25.02 branch, last one 6 hours ago
41
190
bsd-3-clause
10
Performance-portable geometric search library
Created 2019-04-09
4,119 commits to master branch, last one 2 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
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
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 6 months ago
25
85
apache-2.0
5
kNN-based next-basket recommendation
Created 2020-05-24
19 commits to master branch, last one 3 years ago
27
78
gpl-2.0
13
PostgreSQL extension for spatial indexing on a sphere
Created 2015-03-28
383 commits to master branch, last one 7 months ago
Compressing Representations for Self-Supervised Learning
Created 2020-06-24
178 commits to master branch, last one 3 years ago
Rcpp bindings for Annoy
Created 2014-11-08
269 commits to master branch, last one about a month ago
8
60
unknown
7
Fast k-NN graph construction for slow metrics
Created 2021-03-12
72 commits to main branch, last one 2 years ago
14
58
unknown
5
R package providing fast nearest neighbour search (wraps ANN library)
Created 2013-07-23
194 commits to master branch, last one 5 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 2 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 about a year ago
4
47
gpl-2.0
2
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
6
43
apache-2.0
4
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 11 months ago