🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

ezSIFT: An easy-to-use standalone SIFT library written in C/C++

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

MODS (Matching On Demand with view Synthesis) is algorithm for wide-baseline matching.

Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.

Extract deep learning features from images using simple python interface

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

Golang Utilities for Data Analysis

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Diabetic Retinopathy is a very common eye disease in people having diabetes. This disease can lead to blindness if not taken care of in early stages, This project is a part of the whole process of identifying Diabetic Retinopathy in its early stages. In this project, we'll extract basic features which can help us in identifying Diabetic Retinopa…

⭐ A Python package for optimal 1D k-means clustering.

Animated Visualizations of Popular Machine Learning Algorithms

machine learning algorithms in Swift

feature detector and descriptor for spherical panorama

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply…

Python implementation of "Elliptic Fourier Features of a Closed Contour"

Different clustering approaches applied on different problemsets

B-SHOT : A Binary Feature Descriptor for Fast and Efficient Keypoint Matching on 3D Point Clouds