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
sayongjaga kociyi doumeobsi yeoreo hunryeoneul gaeinjeogeuro hal su issdorog dowajuneun cuggu eopeulrikeisyeonibnida. 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.
Image processing and vision based assignments completed in computer vision course
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