Projects in Awesome Lists tagged with nearest-neighbors

https://github.com/erikbern/ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

Last synced: 17 Dec 2024

https://github.com/edyoda/data-science-complete-tutorial

For extensive instructor led learning

decision-trees feature-selection linear-regression machine-learning nearest-neighbors numpy pandas pipeline scikit-learn

Last synced: 20 Dec 2024

https://github.com/fwilliams/point-cloud-utils

An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

chamfer-distance geometry hausdorff hausdorff-distance hausdorff-measure lloyd-relaxation mesh nanoflann nearest-neighbor nearest-neighbors numpy optimal-transport point-cloud poisson poisson-disc-sampling poisson-disk-sampling python sampling sinkhorn sinkhorn-distance

Last synced: 17 Dec 2024

https://github.com/yahoojapan/ngt

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

approximate-nearest-neighbor-search k-nearest-neighbors knn-search nearest-neighbor-search nearest-neighbors

Last synced: 17 Dec 2024

https://github.com/yahoojapan/NGT

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

approximate-nearest-neighbor-search k-nearest-neighbors knn-search nearest-neighbor-search nearest-neighbors

Last synced: 01 Nov 2024

https://github.com/tensorflow/similarity

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

barlow-twins clustering contrastive-learning cosine-similarity deep-learning knn machine-learning metric-learning nearest-neighbor-search nearest-neighbors python simclr simclr2 similarity-learning similarity-search simsiam tensorflow unsupervised-learning

Last synced: 20 Dec 2024

https://github.com/markdregan/k-nearest-neighbors-with-dynamic-time-warping

Python implementation of KNN and DTW classification algorithm

classification-algorithm dynamic-programming dynamic-time-warping human-activity-recognition machine-learning nearest-neighbors timeseries

Last synced: 20 Dec 2024

https://github.com/markdregan/K-Nearest-Neighbors-with-Dynamic-Time-Warping

Python implementation of KNN and DTW classification algorithm

classification-algorithm dynamic-programming dynamic-time-warping human-activity-recognition machine-learning nearest-neighbors timeseries

Last synced: 12 Nov 2024

https://github.com/rapidsai/raft

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 high performance applications.

anns building-blocks clustering cuda distance gpu information-retrieval linear-algebra llm machine-learning nearest-neighbors neighborhood-methods primitives random-sampling solvers sparse statistics vector-search vector-similarity vector-store

Last synced: 19 Dec 2024

https://github.com/KristofferC/NearestNeighbors.jl

High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.

datastructures knn-search nearest-neighbors range-search

Last synced: 07 Nov 2024

https://github.com/kristofferc/nearestneighbors.jl

High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.

datastructures knn-search nearest-neighbors range-search

Last synced: 13 Nov 2024

https://github.com/vc1492a/pynomaly

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

anomalies anomaly-detection machine-learning nearest-neighbors outlier-detection outlier-scores outliers probability

Last synced: 20 Dec 2024

https://github.com/vc1492a/PyNomaly

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

anomalies anomaly-detection machine-learning nearest-neighbors outlier-detection outlier-scores outliers probability

Last synced: 27 Nov 2024

https://github.com/netrasys/pgANN

Fast Approximate Nearest Neighbor (ANN) searches with a PostgreSQL database.

ann approximate-nearest-neighbor-search nearest-neighbor-search nearest-neighbors postgres vectors

Last synced: 02 Nov 2024

https://github.com/rapidsai/cuvs

cuVS - a library for vector search and clustering on the GPU

anns clustering cuda distance gpu information-retrieval llm machine-learning nearest-neighbors neighborhood-methods similarity-search sparse statistics vector-search vector-similarity vector-store

Last synced: 20 Dec 2024

https://github.com/umbertogriffo/fast-near-duplicate-image-search

Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.

computer-vision duplicate-detection duplicates-removed hashing image-deduplication image-processing kd-tree kdtree near-duplicate nearest-neighbor-search nearest-neighbors perceptual-hashing phash t-sne

Last synced: 20 Oct 2024

https://github.com/microsoft/snca.pytorch

Improving Generalization via Scalable Neighborhood Component Analysis

computer-vision deep-learning eccv-2018 few-shot-learning nearest-neighbors transfer-learning visual-recognition

Last synced: 04 Dec 2024

https://github.com/segasai/q3c

PostgreSQL extension for spatial indexing on a sphere

astronomy coordinates nearest-neighbors postgresql query sphere

Last synced: 15 Dec 2024

https://github.com/eddelbuettel/rcppannoy

Rcpp bindings for Annoy

annoy cran nearest nearest-neighbors r r-package

Last synced: 15 Dec 2024

https://github.com/davpinto/fastknn

Fast k-Nearest Neighbors Classifier for Large Datasets

decision-boundaries dimension-reduction feature-engineering feature-extraction kaggle knn nearest-neighbors rstats shrinkage-estimator

Last synced: 22 Nov 2024

https://github.com/jefferislab/RANN

R package providing fast nearest neighbour search (wraps ANN library)

ann-library nearest-neighbors nearest-neighbours r r-package

Last synced: 22 Nov 2024

https://github.com/patrickfav/indoor-positioning

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.

angular couchdb highcharts iot javaee nearest-neighbors open-wrt received-signal-strength wifi

Last synced: 23 Nov 2024

https://github.com/davisidarta/dbMAP

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 data intrinsic structure to your clustering and data visualization workflow.

denoising diffusion-process dimensionality-reduction graph-layout high-dimensional machine-learning nearest-neighbors single-cell umap visualization

Last synced: 22 Nov 2024

https://github.com/davisidarta/dbmap

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 data intrinsic structure to your clustering and data visualization workflow.

denoising diffusion-process dimensionality-reduction graph-layout high-dimensional machine-learning nearest-neighbors single-cell umap visualization

Last synced: 31 Oct 2024

https://github.com/stephenleo/adventures-with-ann

All the code for a series of Medium articles on Approximate Nearest Neighbors

ann approximate-nearest-neighbor-search machine-learning-algorithms nearest-neighbor-search nearest-neighbors python

Last synced: 11 Nov 2024

https://github.com/dillondaudert/nearestneighbordescent.jl

Efficient approximate k-nearest neighbors graph construction and search in Julia

approximate-nearest-neighbor-search distance julialang knn-algorithm knn-graphs machine-learning nearest-neighbors nndescent

Last synced: 12 Oct 2024

https://github.com/dentrax/data-mining-algorithms

Data Mining Algorithms with C# using LINQ

algorithm apriori apriori-algorithm c45 clustering-algorithm data-mining data-mining-algorithms data-science desiciontree id3 id3-algorithm k-means k-nearest-neighbor linq nearest-neighbors

Last synced: 09 Nov 2024

https://github.com/tirthajyoti/r-stats-machine-learning

Misc Statistics and Machine Learning codes in R

classification clustering decision-trees hypothesis-testing k-means machine-learning nearest-neighbors neural-network principal-component-analysis r random-forest regression statistics support-vector-machines

Last synced: 09 Nov 2024

https://github.com/jchambers/jvptree

A generic vantage point tree (vp-tree) implementation in Java

java nearest-neighbors vp-tree

Last synced: 30 Oct 2024

https://github.com/jchambers/jeospatial

A memory-resident geospatial index library for Java

geospatial nearest-neighbors vp-tree

Last synced: 30 Oct 2024

https://github.com/dylanljones/lattpy

Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.

bravais bravais-lattice computational-physics crystal high-dimensional lattice nearest-neighbors neighbors physics python solid-state-physics

Last synced: 16 Dec 2024

https://github.com/rubixml/iris

The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.

classification cross-validation data-science example-project introduction-to-machine-learning iris-dataset k-nearest-neighbors knn machine-learning machine-learning-tutorial nearest-neighbors php php-machine-learning php-ml rubix-ml tutorial

Last synced: 04 Dec 2024

https://github.com/djsutherland/cyflann

A Cython interface to FLANN

cython flann nearest-neighbors python

Last synced: 17 Nov 2024

https://github.com/dobraczka/kiez

🏘️ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings

approximate-nearest-neighbor-search embedding entity-alignment entity-resolution hubness knowledge-graph knowledge-graph-embedding nearest-neighbors

Last synced: 08 Nov 2024

https://github.com/chalmerlowe/machine_learning

A gentle introduction to machine learning: data handling, linear regression, naive bayes, clustering

data data-science linear-regression machine-learning nearest-neighbors python scikit-learn

Last synced: 12 Oct 2024

https://github.com/jefferis/nabor

R package wrapping libnabo: fast K Nearest Neighbor search for low dimensions

libnabo nearest-neighbors r r-package

Last synced: 28 Oct 2024

https://github.com/perseus784/self-organizing-bots

A group of small robots capable of organizing themselves in any given structure using OpenCV and Clustering.

3d-models 3d-printing arduino c corner-harris esp8266 heirarchical-clustering master-slave nearest-neighbors opencv organizing-bots python robotics swarm swarm-intelligence wheeled-robots

Last synced: 11 Nov 2024

https://github.com/dirmeier/diffusr

Network diffusion algorithms in R.

heat-transfer markov-chain markov-random-walk nearest-neighbors network-diffusion network-propagation r

Last synced: 28 Oct 2024

https://github.com/wildart/flann.jl

A Julia wrapper for Fast Library for Approximate Nearest Neighbors (FLANN)

approximate-nearest-neighbors flann julia nearest-neighbors

Last synced: 31 Oct 2024

https://github.com/rubixml/divorce

Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.

classification cross-validation data-science divorce divorce-prediction example-project k-nearest-neighbors knn machine-learning machine-learning-tutorial nearest-neighbors php php-machine-learning php-ml prediction rubix-ml

Last synced: 04 Dec 2024

https://github.com/mujadded/knn-with-tensorflow

This is a implementation of k nearest neighbors with tensorflow

nearest-neighbors tensorflow

Last synced: 11 Oct 2024

https://github.com/danaugrs/binary-word-embeddings

Generates binary word embeddings by analyzing Wikipedia

embeddings nearest-neighbors python

Last synced: 19 Nov 2024

https://github.com/checktor/face_amnesia

Face detection and retrieval in image and video files.

clustering deduplication face-detection face-recognition image-processing locality-sensitive-hashing nearest-neighbors video-processing

Last synced: 02 Nov 2024

https://github.com/timm/shortr

A little lab of learning algorithms (in LUA). Less XAI, but better

ai clustering data-mining decision-trees explanation less-is-more lua multi-objective-optimization naive-bayes-classifier nearest-neighbors random-projection semi-supervised-learning teaching xai

Last synced: 30 Nov 2024

https://github.com/zabuzard/closy

Closy is a library that provides fast and generic solutions for nearest neighbor search (NNS)

api knearest-neighbor-algorithm library nearest-neighbor-search nearest-neighbors nns nnsearch

Last synced: 13 Nov 2024

https://github.com/sparkfish/orbitron

"Near Me" search API for exposing your geocoded tabular data

find-me geolocation geospatial location-based location-finder location-services nearby-api nearby-locations nearby-places nearest-neighbor-search nearest-neighbors nearest-neighbours

Last synced: 17 Dec 2024

https://github.com/cseas/ml-projects

Machine Learning projects using traditional algorithms.

algorithm classifier decision-tree-classifier iris machine-learning nearest-neighbors neural-network

Last synced: 07 Nov 2024

https://github.com/wout/kdtree.onchain.js

A micro JS library for building K-Dimensional Trees with N-Nearest Neighbours Search.

blockchain generative-art javascript kd-tree nearest-neighbors onchain

Last synced: 20 Dec 2024

https://github.com/matthias-wright/sarcos

Four different regression models applied to the SARCOS dataset.

gaussian-processes linear-regression machine-learning nearest-neighbors random-forest

Last synced: 14 Dec 2024

https://github.com/s-matke/ts-oi

Experimental project solving Travelling Salesman Problem via genetic algorithm, hungarian method, etc. University project for class Operations Research.

branch-bound-algorithm brute-force genetic-algorithm hungarian-algorithm nearest-neighbors operations-research python travelling-salesman-problem

Last synced: 09 Dec 2024

https://github.com/hchiam/learning-annoy

Learning ANNOY for ML approximate nearest neighbours of vectors

knn machine-learning ml nearest-neighbors

Last synced: 01 Dec 2024

https://github.com/nsswifter/tsp

The Traveling Salesman Problem (TSP) aims for the most efficient route across cities. This Python project, employing Tkinter and the Model-View-Controller (MVC) architecture, visualizes TSP solutions. It generates random cities, utilizes the nearest neighbor algorithm, and presents the optimal path with a Tkinter-based GUI.

algorithm mvc nearest-neighbor-search nearest-neighbors python tkinter tsp tsp-problem tsp-solver

Last synced: 10 Nov 2024

https://github.com/bast/kdtree-example

Note to self on how to find nearest neighbors in 2D with Rust.

kdtree nearest-neighbors rust

Last synced: 29 Nov 2024

https://github.com/ahmetcerol/travel-salesman-problem

Travel Salesman Problem with Brute Forca, Nearest Neighbour, Minimum Spanning Tree

bruteforce minimumspanningtree nearest-neighbors python travelling-salesman-problem

Last synced: 12 Nov 2024

https://github.com/arshad-khalid/music-recommendation-system

A simple Python program that recommends similar music based on user input, utilizing data sourced from a CSV file.

content-based-recommendation kkn nearest-neighbors python

Last synced: 15 Nov 2024

https://github.com/bradgarropy/facebook-nearest-neighbors

🏘 facebook interview question - nearest neighbors

facebook interview nearest-neighbors python

Last synced: 17 Nov 2024

https://github.com/antononcube/wl-monadicgeometricnearestneighbors-paclet

Wolfram Language (aka Mathematica) paclet with a software monad for Geometric Nearest Neighbors (GNN) workflows.

mathematica monad monadic-interface nearest-neighbor-search nearest-neighbors paclet wolfram-language wolfram-mathematica wolframlanguage

Last synced: 15 Dec 2024

https://github.com/ybaditya/ml_knn

The k-nearest neighbors (KNN) algorithm is a data classification method for estimating the likelihood that a data point will become a member of one group or another based on what group the data points nearest to it belong to

machine-learning nearest-neighbors

Last synced: 05 Nov 2024

https://github.com/maciekmalachowski/machine-learning-algorithm-comparison

🤖📖 Application that compares most known ML algorithms and generates plots and markdown files.

automl baseline catboost decision-tree extra-trees json lightgbm mljar-supervised nearest-neighbors neaural-network pandas python random-forest seaborn xgboost

Last synced: 15 Dec 2024

https://github.com/materight/therapy-recommender-system

An hybrid recommender systems for suggesting medical therapies, based on matrix factorization and collaborative filtering.

collaborative-filtering hybrid-recommender-system nearest-neighbors recommender-system svd

Last synced: 09 Nov 2024

https://github.com/machinelearningzuu/student-concern-request-management-heroku-deployment

The backend of a chatbot system was developed using NLP techniques to help students to present their concerns about university works & get solutions in real time

deep-learning heroku-deployment machine-learning natural-language-processing nearest-neighbors nltk python tensorflow tensorflowlite

Last synced: 10 Dec 2024

https://github.com/zmyzheng/mahcinelearning

machine learning algorithms realization

boosted-decision-trees conditional-probability-estimation cross-validation feature-extraction gradient-descent linear-regression logistic-regression machine-learning naive-bayes nearest-neighbors neural-networks perceptron random-forests

Last synced: 11 Dec 2024

https://github.com/antononcube/raku-math-nearest

Raku package with algorithms for finding nearest neighbors for different sets of objects.

distance-functions kd-tree nearest nearest-neighbor-search nearest-neighbors raku rakulang scanning

Last synced: 05 Nov 2024

https://github.com/dsdatsme/cifar10

Image Classification

cifar10 machine-learning nearest-neighbors python3

Last synced: 19 Dec 2024