k-nearest-neighbors

yahoojapan/NGT

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

kakao/n2

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

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)

srafay/Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

anish-lakkapragada/SeaLion

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

jelmerk/hnswlib

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

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, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

Mamcose/NSL-KDD-Network-Intrusion-Detection

Machine Learning Algorithms on NSL-KDD dataset

lettier/interactiveknn

Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.

textgain/grasp

Essential NLP & ML, short & fast pure Python code

brannondorsey/GloVe-experiments

GloVe word vector embedding experiments (similar to Word2Vec)

Nicolik/Segm_Ident_Vertebrae_CNN_kmeans_knn

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

snatch59/cnn-svm-classifier

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

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

n3integration/classifier

A general purpose text classifier

jlmelville/rcpphnsw

Rcpp bindings for the approximate nearest neighbors library hnswlib

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

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

RubixML/Iris

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

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

jvdd/pqknn

Product Quantization k-Nearest Neighbors

astier/model-free-episodic-control

Model-Free-Episodic-Control implementation.

DhruvAwasthi/NLPSpecialization

This repo contains the assignment and quiz solutions of Natural Language Processing Specialization, offered on Coursera.

dirkiedai/sk-mt

This is the official code for our paper "Simple and Scalable Nearest Neighbor Machine Translation" (ICLR 2023).

RubixML/Divorce

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

SravB/NBA-Predictive-Analytics

Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.

tweichle/Predicting-Baseball-Statistics

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn and TensorFlow-Keras

AFAgarap/opencv-python-training

OpenCV-Python Tutorials

BrunoMeyer/gpu-rsfk

A GPU (CUDA) implementation, with a python interface, of the approximated KNN graph computation with Random Sample Forest algorithm KNN.

miladce/knn-cosine-similarity

knn with cosine similarity (distance)

hoangcaobao/Projectube-Recommendation-System

Recommendation System sever for Projectube developed by insource team of VietCode company leveraging User-Based Collaborative Filtering

pragmaticpython/k-nearest-neighbors-python

An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.

AnabelSMRuggiero/NNDescent.cpp

A C++ iteration of PyNNDescent.

dr-mushtaq/Natural-language-processing

This repository is a related to all about Natural Langauge Processing - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)

sagnikghoshcr7/FIFA-2019-Player-Data-EDA

subhadeep-123/Breast-Cancer-Detection

Breast Cancer Wisconsin (Diagnostic) Prediction Using Various Architecture, though XgBoost Classifier out performed all