A lean C++ library for working with point cloud data

GPU accelerated Faster Mean-shift for cosine embedding clustering

Cool Vision projects

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

An interactive approach to understanding Machine Learning using scikit-learn

Implementation of feature engineering from Feature engineering strategies for credit card fraud

C++, OpenMP and CUDA implementation of Mean Shift clustering algorithm

Mean-shift clustering in Python in 100 lines

Clustering Visualizer is a Web Application for visualizing popular Machine Learning Clustering Algorithms (K-Means, DBSCAN, Mean Shift, etc.).

Utilize Mean-Shift to generate initial centroids for K-Means

GPU accelerated K-Means and Mean Shift clustering in Tensorflow.

Clustering algorithms (Mean shift and K-Means) from scratch in NumPy, PyTorch, TensorFlow, and JAX

사용자가 코치의 도움없이 여러 훈련을 개인적으로 할 수 있도록 도와주는 축구 어플리케이션입니다. It is a soccer-practice-application that helps the user to do various training personally without the help of a coach.

Working on five computer vision tasks (optical flow, mean-shift tracking, correlation filter tracking, advanced tracking, and long-term tracking) using the programming language Python.

Offline and online (i.e., real-time) annotated clustering methods for text data.

Context-aware 3-D Mean-shift with Occlusion Handling for Robust Object Tracking in RGB-D Videos

Real Time Tracking based in Mean Shift framework using LIBAV and SDL libraries (Without using OpenCV Library).

Few computer vision algorithms implemented in Python for university course.

A simple C++ implementation of mean shift clustering