Search Results for "source code plagiarism detection"

This repository contains MATLAB / Octave implementations of popular machine learning algorithms, along with explanatory code and mathematical derivations, intended as educational material rather than production code. Implementations of supervised learning algorithms (linear regression, logistic regression, neural nets). The author’s goal is to help users understand how each algorithm works “from scratch,” avoiding black-box library calls. Code written so as to expose and comment on...

...It contains 7,363 images captured across ten different low-light scenarios, ranging from extremely dark environments to twilight. Each image is annotated with both image-level labels and object-level bounding boxes for 12 object categories, making it suitable for detection and classification tasks. The dataset was created to address the lack of large-scale low-light datasets available for research in object detection, recognition, and enhancement. It has been widely used in studies of low-light image enhancement, deep learning approaches, and domain adaptation for vision models. Researchers can also explore its associated source code for low-light image enhancement tasks, making it an essential resource for advancing work in night-time and low-light visual recognition.

The tracking.js library brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we enable you to do real-time color tracking, face detection and much more, all that with a lightweight core (~7 KB) and intuitive interface. To get started, download the project. This project includes all of the tracking.js examples, source code dependencies you'll need to get started. Unzip the project somewhere on your local drive. The package includes an initial version of the project you'll be working with. ...

iMet-Q (intelligent Metabolomic Quantitation) is an automated tool with friendly user interfaces for quantifying metabolites in full-scan liquid chromatography-mass spectrometry (LC-MS) data. It has a complete quantitation procedure for noise removal, peak detection and peak alignment. In addition to accurate quantitation, iMet-Q provides the charge states and isotope ratios of detected compounds. It accepts input data in netCDF, mzXML, and mzML format and exports quantitation results in csv and txt format. The software source code is freely available under the license of GPL2.

This is showcase program, with source code and sample data included for fast peak detection algorithm. It is great tool for entry level, automated analisys, to discard empty and junk curves and save only ones matching required criteria. Assuming that only 1% of data is worth reviewing, and that manual selection takes approx. 3 seconds per curve, you can save up to 8 hours per every 10000 curves (like 2 days every week!).

SDD: Duplicated code detection tool