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The Top 23 Knn Open Source Projects

Open source projects categorized as Knn
Categories > Knn
Statistical Learning Using R ⭐ 16
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
most recent commit 6 years ago
Wind Power Forecasting ⭐ 16
Wind Power Forecasting using Machine Learning techniques.
most recent commit a year ago
Dlime_experiments ⭐ 16
In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
most recent commit 3 years ago
Artificial Intelligence In Medicine Projects ⭐ 16
Several small AI projects, including basic machine learning algorithms, perceptron neural networks, convolutional neural networks, and semantic segmentation.
most recent commit 7 months ago
Kernelknn ⭐ 15
Kernel k Nearest Neighbors in R
dependent packages 5total releases 15most recent commit a year ago
Knnbandit ⭐ 14
Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation"
most recent commit 3 years ago
Python Timbl ⭐ 14
python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.
total releases 21most recent commit 4 years ago
Drowsiness Detection ⭐ 14
To identify the driver's drowsiness based on real-time camera image and image processing techniques. 졸음운전 감지 시스템. OpenCV
most recent commit 3 years ago
Rchemo ⭐ 13
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
most recent commit a year ago
Fall Detection Dataset ⭐ 13
FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.
most recent commit 3 years ago
Machine_learning_trading_algorithm ⭐ 13
Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals
most recent commit 6 years ago
Rseslib ⭐ 13
Rough set and machine learning data structures, algorithms and tools, including algorithms for discernibility matrix, reducts, decision rules, classification (RoughSet, KNN, RIONIDA, AQ15, C4.5, SVM, NeuralNetwork and many others), discretization (1R, Entropy Minimization, ChiMerge, MD), and tool for interactive and explainable machine learning.
most recent commit 6 months ago
Cs231n ⭐ 13
My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
most recent commit 6 years ago
The Supervised Learning Workshop ⭐ 13
An Interactive Approach to Understanding Supervised Learning Algorithms
most recent commit 3 years ago
Mrsr ⭐ 13
MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.
most recent commit 5 years ago
Retomaton ⭐ 13
PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
most recent commit 2 years ago
Hnswgo ⭐ 12
hnswlib golang interface
most recent commit 2 years ago
Crypton X ⭐ 12
Cryptocurrency market cap-price prediction and visualization web app
most recent commit 2 years ago
Email Spam Detection ⭐ 11
This project focuses on detecting Persian spam emails using machine learning algorithms. The goal is to develop an effective spam detection system using various word embedding techniques and classification algorithms. The project utilizes three word embedding algorithms: TF-IDF, Frequency of Words, and Bag of Words. Additionally, six classification
most recent commit 5 months ago
Ai Residential Electricity Bill Prediction ⭐ 11
Prediction of Residential Electricty Bill Amount using Aritificial Intelligence
most recent commit 7 years ago
Tgstat ⭐ 11
Fast and efficient statistical tools from the Tanay lab
most recent commit 4 months ago
Sentimentanalysis ⭐ 10
Implemented text analysis using machine learning models to classify movie review sentiments as positive or negative. Built using Python 3.6.1.
most recent commit 7 years ago
Urp Decaptcha ⭐ 10
Python application to DeCaptcha URP System
most recent commit 7 years ago
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