k-nearest-neighbors

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

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

#计算机科学#TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

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

Learning to create Machine Learning Algorithms

#算法刷题#The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

#算法刷题#Java library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Ma...

#计算机科学#Machine Learning Algorithms on NSL-KDD dataset

#计算机科学#Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.

#自然语言处理#Essential NLP & ML, short & fast pure Python code

#自然语言处理#GloVe word vector embedding experiments (similar to Word2Vec)

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

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

#计算机科学#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

#计算机科学#A general purpose text classifier

Rcpp bindings for the approximate nearest neighbors library hnswlib

#计算机科学#Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning

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