knn-algorithm
There are 580 repositories under knn-algorithm topic.
qdrant/qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
gitanat/simple-ocr-opencv
A simple python OCR engine using opencv
Suji04/ML_from_Scratch
Implementation of basic ML algorithms from scratch in python...
alexklibisz/elastik-nearest-neighbors
Go to: https://github.com/alexklibisz/elastiknn
ZPGuiGroupWhu/ClusteringDirectionCentrality
A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind the connections of internal points.
BirchKwok/lynsedb
A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
dillondaudert/NearestNeighborDescent.jl
Efficient approximate k-nearest neighbors graph construction and search in Julia
div3125/k-nearest-neighbors
Implementation of KNN algorithm in Python 3
TavinWang/Machine-Learning
机器学习算法实现及实战
sayaliwangane/INTELLIGENT-CAREER-GUIDANCE-SYSTEM
Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.
thedevstone/Jestures
A simple framework for gesture recognition in Java
jaydipkumar/Data-Science-Python
Data Science Python Beginner Level Project
tohtsky/irspack
Train, evaluate, and optimize implicit feedback-based recommender systems.
ericmillsio/whiplash
Serverless, lightweight, and fast vector database on top of DynamoDB
rishabmenon/Traffic-Congestion-Prediction-System
Traffic Congestion Prediction System using Data Mining
aws-samples/gofast-hnsw
This project is a reference implementation of the Hierarchical Navigable Small World graph paper by Malkov & Yashunin (2018) as a companion to the AWS presentation by Ben Duncan (Startup Solution Architect) "What you need to know about Vector Databases. From use-cases to a deep dive on the technology."
aryanraj2713/KNN-visualization
A casestudy about K-nearest-neighbors Algorithm
PancakePrediction/Pancake_Pridction_KNN
For Pancake Pridction, Try to use the machine learning algorithm KNN to predict it.
rajesh-gupta-14/LookAlike_Model_B2B_Customers_NLP
A look-alike model to identify potential clients based on certain characteristics from the existing customer base.
Ralireza/ml-newbie
simple implementation of machine learning algorithm in pyhton
RiteshPuvvada/Machine-Learning-Lab
A cluster of Machine Learning algorithms
Rohithram/Self-Organizing-Maps-using-KNN
High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neural Networks using K Nearest Neighbors
Amirhossein-Rajabpour/Information-Retrieval-Project
Information retrieval course project
pragmaticpython/k-nearest-neighbors-python
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
RinaldiPakpahan/ANPR-Indonesian
ANPR Indonesian
agomolka/AdultIncomeAnalysis
Predict whether income exceeds $50K/yr based on census data.
mddragnev/k-nearest-neighbors
C++ implementation for machine learning algorithm K-NN
Mindful-AI-Assistants/DiamondValuationPrediction
💎 Diamond Valuation Prediction
rocksaint/fruit-data-with-colours
Fruit data with Colours
sasivatsal7122/Go_Screen-CineMatrix-ML-MODEL
This repo contains a machine learning model made using advanced and enhanced algos like KNN,SVD and also concepts like vectorization ,cosine similarity which predicts the similar movies for a given fav movie of user. So no more time wasting on searching for a good of you're choice
AninditaGuha98/Spotify-Recommendation-System
Implemented and compared different recommendation systems for Spotify playlists for both artists and types of songs. Implemented popularity-based recommenders, content-based recommenders, and used the KNN algorithm for implementing collaborative filtering.
kamil5b/knnGo
I created K-Nearest Neighbor Algorithm using Go language. Initially, this project is for my assignment but I decided to publish it.
Melanee-Melanee/ML-Algorithms
Machine learning algorithms tutorials
RafetKandar/Python-Breast-Cancer-Classification-Gogus-Kanseri-Siniflandirma
Using the Knn algorithm, it detects whether the tumor is benign or malignant in people diagnosed with breast cancer.
skinan/Breast-Cancer-Diagnosis-Using-Probabilistic-Ensemble-Based-Machine-Learning-Algorithms
This project is a part of research on Breast Cancer Diagnosis with Machine Learning algorithm using data-driven approaches. The final outcomes of the research were later published at an IEEE Conference and added to IEEE Xplore Digital Library.
TheDatumOrg/VAQ
Fast Adaptive Similarity Search through Variance‑Aware Quantization