#Knn
Showing 47 of 47 repositories tagged #knn, ranked by stars
Machine learning, in numpy
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
Postgres with GPUs for ML/AI apps.
Easily compute clip embeddings and build a clip retrieval system with them
JVector: the most advanced embedded vector search engine
A curated list of Best Artificial Intelligence Resources
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
PostgreSQL vector database extension for building AI applications
Blazing fast framework for fine-tuning similarity learning models
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
Go to: https://github.com/alexklibisz/elastiknn
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
A collection of awesome scripts from developers around the globe.
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
ML-algorithms from scratch using Python. Classic Machine Learning course.
Source for the book Computer Science from Scratch
A repository for recording the machine learning code
Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
Machine Learning for Real Estate
Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.
Compressing Representations for Self-Supervised Learning
Malware Classification using Machine learning
本项目以应用为主出发，结合了从基础的机器学习、深度学习到目标检测以及目前最新的大模型，采用目前成熟的 第三方库、开源预训练模型以及相关论文的最新技术，目的是记录学习的过程同时也进行分享以供更多人可以直接进行使用。
Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza
NeuronDB PostgreSQL extension: vector similarity search (HNSW, IVFFlat), embeddings, kNN, ML in SQL, and hybrid full-text + vector retrieval.
“Data science” is just about as broad of a term as they come. It may be easiest to describe what it is by listing its more concrete components: Data exploration & analysis. Included here: Pandas; NumPy; SciPy; a helping hand from Python's Standard Library.
iris数据集的基本数据分析方法，包括KNN,LG,NB,SVM算法。
Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.
Repository containing introduction to the main methods and models used in machine learning problems of regression, classification and clustering.
A machine learning approach to detection of Parkinson's disease.
🏠 An AI real estate app featuring secure auth, conversation management, & personalized property recommendations. Powered by Agentic AI, RAG (w/ Pinecone), GraphRAG (w/ Neo4j), MCP, kNN, K‑Means Clustering, CoT, LangGraph, and a Mixture‑of‑Experts ensemble to deliver accurate, effective, and scalable AI insights. Also features a VS Code extension!
A repository for recording the codes of machine learning algorithms
Extract color palette from an image with k-means and k-NN // Project for the AI/ML class at Hanyang University
An Interactive Approach to Understanding Supervised Learning Algorithms
Machine Learning for Spot Prices
Predict the change in closing price from one trading day to the next into one of four bands for any stock using technical indicators and financial ratios as features.
𝗙𝗶𝗿𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻🔥using Machine Learning Algorithm with python🐍, GoogleColab & database taken from 𝗨𝗖𝗜 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆
Machine Learning-based Intrusion Detection System (IDS) tailored for resource-constrained networks
Lung Cancer Prediction using Machine Learning Algorithms
iThome 13th-ironman (2021) - Data Science Learning Roadmap about Python