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

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python data-science machine-learning data-mining svm pca ids intrusion-detection dimensionality-reduction data-mining-algorithms knn intrusion-detection-system kdd99 kdd-dataset

经典机器学习算法的极简实现

✭ 130

python machine-learning log algorithms numpy svm naive-bayes pca logistic-regression perceptron kmeans adaboost lda gmm knn decision-tree

facenet-darknet-inference

Face recognition using facenet

✭ 29

c C++Makefile cnn face-recognition face-detection dlib facenet knn darknet

knn-cpp

A header-only C++ library for k nearest neighbor search with Eigen3.

✭ 25

C++CMake c kd-tree nearest-neighbor-search knn-search knn

KernelKnn

Kernel k Nearest Neighbors in R

✭ 14

r C++kernel-methods distance-metric knn rcpparmadillo

Amazon-Fine-Food-Review

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

✭ 28

Jupyter Notebook random-forest svm naive-bayes logistic-regression machinelearning decision-trees knn tsne kmeans-clustering truncated-svd amazonfinefoodreviews

MachineLearning

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

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python scala machine-learning tensorflow numpy svm sklearn knn spark-mllib

deforestation

A machine learning exercise, using KNN to classify deforested areas

✭ 26

python machine-learning image-processing image-classification image-recognition image-analysis knn

fastknn

Fast k-Nearest Neighbors Classifier for Large Datasets

✭ 64

r Makefile kaggle feature-extraction rstats nearest-neighbors feature-engineering knn decision-boundaries shrinkage-estimator dimension-reduction

Handwritten-Digits-Classification-Using-KNN-Multiclass Perceptron-SVM

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Clustering-Python

Python Clustering Algorithms

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python machine-learning-algorithms kmeans knn clustering-algorithm dbscan-clustering

MSF

Official code for "Mean Shift for Self-Supervised Learning"

✭ 42

python shell machine-learning computer-vision convolutional-neural-networks representation-learning knn mean-shift self-supervised-learning

Machine learning trading algorithm

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

✭ 20

python machine-learning random-forest algotrading knn svc

MoTIS

Mobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.

✭ 60

swift C++Objective-C++objective c ruby naacl ai retrieval lsh image-search k-means cross-modal clip knn semantic-search knowledge-distillation k-means-clustering random-projection vector-search

spot price machine learning

Machine Learning for Spot Prices

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Jupyter Notebook aws machine-learning scikit-learn jupyter-notebook pandas price click spot-instances knn spot ecu spot-price

Fall-Detection-Dataset

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.

✭ 16

svm dataset depth knn fall-detection kinect-camera

introduction-to-machine-learning

A document covering machine learning basics. 🤖📊

✭ 17

r Jupyter Notebook TeX machine-learning neural-network random-forest svm cross-validation regularization knn loss-functions bias-variance

ALPR-Indonesia

Automatic license plate recognition for Indonesian plate (White on black)

✭ 40

python image-processing plate-recognition knn indonesian

The-Supervised-Learning-Workshop

An Interactive Approach to Understanding Supervised Learning Algorithms

✭ 24

Jupyter Notebook python plots regression pandas supervised-learning classification matplotlib decision-trees knn

img classification deep learning

No description or website provided.

✭ 19

Jupyter Notebook react search django image word2vec imagenet image-classification image-search inception ann knn googlenet image-retrieval image-similarity image-search-engine

dlime experiments

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).

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Jupyter Notebook python machine-learning random-forest scikit-learn neural-networks clusters knn lime classifiers explainable-ai explainable-ml xai heirarchical-clustering breast-cancer-dataset dlime

ml-simulations

Animated Visualizations of Popular Machine Learning Algorithms

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r machine-learning animation data-visualization xgboost pca rstats expectation-maximization kmeans knn

ocr-machine-learning

OCR Machine Learning in python

✭ 42

python shell classifier machine-learning ocr pca spelling-correction knn nearest-neighbor-classifier error-correction

spark-annoy

Building Annoy Index on Apache Spark

✭ 73

scala python java shell spark approximate-nearest-neighbor-search knn

paccmann kinase binding residues

Comparison of active site and full kinase sequences for drug-target affinity prediction and molecular generation. Full paper: https://pubs.acs.org/doi/10.1021/acs.jcim.1c00889

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python machine-learning knn protein-ligand-interactions kinases active-sites proteochemometrics

Recommender-Systems

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

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Jupyter Notebook python neural-network tf-idf recommender-system knn singular-value-decomposition content-based-recommendation

Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

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python machine-learning random-forest dtw scikit-learn classification logistic-regression similarity-measures trajectory-analysis knn trajectory scikitlearn-machine-learning classifiers

Portrait FCN and 3D Reconstruction

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

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Jupyter Notebook CSS python HTML javascript matlab PHP resnet reproduction knn 3d-reconstruction tensorflow-models portrait-fcn

drowsiness-detection

To identify the driver's drowsiness based on real-time camera image and image processing techniques. 졸음운전 감지 시스템. OpenCV

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python Jupyter Notebook opencv image-processing supervised-learning knn drowsy-driver-warning-system drowsiness-detection

1-36 of 36 knn projects