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k-nearest-neighbors

Here are 332 public repositories matching this topic...

hora

hora-search / hora

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

rust search-engine machine-learning algorithm neural-network high-performance numeric artificial-intelligence simd data-structures image-search recommender-system approximate-nearest-neighbor-search similarity-search rust-sci k-nearest-neighbors hnsw vector-search

Updated Jan 31, 2024
Rust

NGT

yahoojapan / NGT

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

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

Updated Dec 17, 2024
C++

kakao / n2

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

python go machine-learning ml nearest-neighbor-search approximate-nearest-neighbor-search knn approximate k-nearest-neighbors

Updated Jun 27, 2023
Jupyter Notebook

AmazingDD / daisyRec

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

afm slim pytorch collaborative-filtering matrix-factorization vae recommender-system factorization-machines ease k-nearest-neighbors item2vec deepfm neural-collaborative-filtering neumf cdae nfm svdpp biasmf

Updated Aug 8, 2024
Python

srafay / Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

Updated Jun 15, 2021
Python

anish-lakkapragada / SeaLion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

python data-science machine-learning algorithms modeling batch-normalization neural-networks data-analysis unsupervised-learning kmeans-clustering machine-learning-python dbscan-clustering regression-algorithms k-nearest-neighbors

Updated Nov 7, 2023
Python

jelmerk / hnswlib

Java library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs

java algorithm scala spark pyspark knn-search k-nearest-neighbors

Updated Jan 2, 2025
Java

machine-learning

je-suis-tm / machine-learning

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

Updated Dec 16, 2022
Jupyter Notebook

Mamcose / NSL-KDD-Network-Intrusion-Detection

Machine Learning Algorithms on NSL-KDD dataset

machine-learning validation random-forest ensemble-learning support-vector-machines k-nearest-neighbors nsl-kdd-dataset

Updated May 30, 2019
Jupyter Notebook

lettier / interactiveknn

Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.

visualization javascript data-science machine-learning gui statistics html5 ai scikit-learn machine-learning-algorithms nearest-neighbor-search classification data-analysis knn interactive-knearest-neighbors k-nearest-neighbours k-nearest-neighbor k-nearest-neighbors

Updated Sep 3, 2020
JavaScript

textgain / grasp

Essential NLP & ML, short & fast pure Python code

Updated Dec 31, 2024
Python

brannondorsey / GloVe-experiments

GloVe word vector embedding experiments (similar to Word2Vec)

nlp machine-learning word2vec embeddings glove k-means word-game glove-vectors glove-embeddings k-nearest-neighbors

Updated Jul 6, 2023
Python

Nicolik / Segm_Ident_Vertebrae_CNN_kmeans_knn

Segmentation and Identification of Vertebrae in CT Scans using CNN, k-means Clustering and k-NN

computed-tomography k-means-clustering k-nearest-neighbors 3d-convolutional-neural-network vertebrae-segmentation vertebrae-identification spine-analysis

Updated Oct 12, 2021
Python

snatch59 / cnn-svm-classifier

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

random-forest tensorflow support-vector-machine confusion-matrix t-sne multi-layer-perceptron classify-images quadratic-discriminant-analysis linear-discriminant-analysis k-nearest-neighbors extra-trees-classifier

Updated Dec 9, 2018
Python

CihanBosnali / Machine-Learning-without-Libraries

Today, using machine learning algorithms is as easy as "import knn from ..." but it doesn't really help if you want to learn how the algorithms work

machine-learning machine-learning-algorithms neural-networks support-vector-machines k-means-clustering k-nearest-neighbors

Updated Sep 16, 2019
Jupyter Notebook

n3integration / classifier

A general purpose text classifier

machine-learning naive-bayes classification k-nearest-neighbors

Updated Feb 9, 2023
Go

jlmelville / rcpphnsw

Rcpp bindings for the approximate nearest neighbors library hnswlib

r rcpp nearest-neighbor-search approximate-nearest-neighbor-search knn k-nearest-neighbors nmslib hnsw

Updated Dec 25, 2024
C++

abhinav-bhardwaj / Walmart-Sales-Time-Series-Forecasting-Using-Machine-Learning

Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning

data-science machine-learning deep-learning time-series random-forest linear-regression keras regression pandas time-series-analysis k-nearest-neighbors time-series-forecasting xgboost-regression walmart-sales-forecasting xgboost-regression-model store-sales-forecasting walmart-sales

Updated Jun 1, 2021
Jupyter Notebook

RubixML / Iris

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

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

Updated Sep 20, 2023
PHP

SSQ / Coursera-UW-Machine-Learning-Clustering-Retrieval

kd-tree locality-sensitive-hashing tf-idf mapreduce k-means approximate-nearest-neighbor-search mixture-model latent-dirichlet-allocation word-count gibbs-sampling em-algorithm hidden-markov-models hierarchical-clustering agglomerative-clustering k-nearest-neighbors dendrogram k-means-plus-plus divisive-clustering

Updated Jan 31, 2019
Python

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