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Search results for k nearest neighbors
k-nearest-neighbors
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35 search results found
Machine_learning_basics
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3,754
Plain python implementations of basic machine learning algorithms
Hora
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2,469
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
Ngt
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1,141
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
N2
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547
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
Daisyrec
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496
This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies.
Sealion
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328
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
Hnswlib
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233
Java library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs
Machine_learning_a Z
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130
Learning to create Machine Learning Algorithms
Machine Learning
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117
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
Grasp
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66
Essential NLP & ML, short & fast pure Python code
Glove Experiments
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54
GloVe word vector embedding experiments (similar to Word2Vec)
Rcpphnsw
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32
Rcpp bindings for the approximate nearest neighbors library hnswlib
Classifier
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31
A general purpose text classifier
Cnn Svm Classifier
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29
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
Nsl Kdd Network Intrusion Detection
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25
Machine Learning Algorithms on NSL-KDD dataset
Iris
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25
The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.
Coursera Uw Machine Learning Clustering Retrieval
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21
Machine_learing_algo_python
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21
implement the machine learning algorithms by python for studying
Segm_ident_vertebrae_cnn_kmeans_knn
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15
Segmentation and Identification of Vertebrae in CT Scans using CNN, k-means Clustering and k-NN
Predicting Baseball Statistics
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14
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn
Sk Mt
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14
This is the official code for our paper "Simple and Scalable Nearest Neighbor Machine Translation" (ICLR 2023).
Rtree
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14
Generic RTree for Nim
Data Mining Algorithms
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12
Data Mining Algorithms with C# using LINQ
Opencv Python Training
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10
OpenCV-Python Tutorials
Model Free Episodic Control
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9
Model-Free-Episodic-Control implementation.
Rn Knn Exp
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8
This project consists of implementations of several kNN algorithms for road networks (aka finding nearest points of interest) and the experimental framework to compare them from a research paper published in PVLDB 2016. You can use it to add new methods and/or queries or reproduce our experimental results.
Knn Defense
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8
Adversarial Examples on KNN (and its neural network friends)
Gpu Rsfk
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8
A GPU (CUDA) implementation, with a python interface, of the approximated KNN graph computation with Random Sample Forest algorithm KNN.
Nlpspecialization
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7
This repo contains the assignment and quiz solutions of Natural Language Processing Specialization, offered on Coursera.
Nba Predictive Analytics
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7
Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.
Ml
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6
Machine Learning Algorithms
Nndescent.cpp
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5
A C++ iteration of PyNNDescent.
Divorce
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5
Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.
Spotify Api
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5
Introducing "spotify-recommender-api", a pip package that uses an adaptation of the KNN algorithm to make personalized song recommendations for users. It analyzes your Spotify listening stats and suggests new tracks you may enjoy, and also clusters similar songs on a big playlist in order to help one find songs that play well in a smaller playlist
Knn Cosine Similarity
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5
knn with cosine similarity (distance)
1-35 of 35 search results
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