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GitHub topics: meanshift-clustering

giannis-mel/CUDA-MeanShift

Explore efficient clustering with Mean Shift, optimized for CUDA

Language: Cuda - Size: 38.1 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

DolbyUUU/clustering_algorithm_implementation_python

Clustering algorithm implementaions from scratch with python (k-means, EM-GMM, mean-shift, agglomerative)

Language: Python - Size: 1.14 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

mainbrm1380/credit-card-holder-clustering

Implementation of five different clustering algorithms

Language: Jupyter Notebook - Size: 722 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

BNTechie/Clustering

Language: Jupyter Notebook - Size: 386 KB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

MohamedSebaie/Algorithm-WorkShop-In_Python-ITI_Clustering_Project

Clustering Algorithms (KMeans, MeanShift, (Merged KMean and MeanShift) and DBSCAN)

Language: Jupyter Notebook - Size: 15 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

hwaseem04/Segmentation

Implemented few classical segmentation methods from scratch, just for fun

Language: Jupyter Notebook - Size: 4.34 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

NotShrirang/Machine-Learning-from-Scratch

ML / DL Algorithms implemented from scratch. Developed with only numpy as dependency. Machine Learning Algorithms such as Support Vector Machine, Linear Regression, Artificial Neural Networks and other data transformation algorithms are implemented. Project is released as a python package and can be download from Python Package Installer.

Language: Python - Size: 86.9 KB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1

SukonyaPhukan92/COVID-19_Chest_X-ray_Image_Generation_using_ResNet50_and_DCGAN_Model

This repository provides codes with datasets for the generation of synthesis images of Covid-19 Chest X-ray using DCGAN as generator and ResNet50 as discriminator from a set of raw covid-19 chest x-ray images, which are enhanced and segmented before passing through the DCGAN model.

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 3