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https://taku910.github.io/mecab MeCab is an open-source text segmentation library for Japanese written text. It was originally developed by the Nara Institute of Science and Technology and is maintained by Taku Kudou (工藤拓) as part of his work on the Google Japanese Input project.
The library has been used for research in image recognition, machine learning, biology, genetics, aerospace engineering, environmental sciences and artificial intelligence. Notable publications that cite FANN include: Papa, J. P. (2009). "Supervised pattern classification based on optimum-path forest".
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]
LuaRocks is a package manager for the Lua programming language that provides a standard format for distributing Lua modules (in a self-contained format called a "rock"), a tool designed to easily manage the installation of rocks, and a server for distributing them.
The term login comes from the verb (to) log in and by analogy with the verb to clock in. Computer systems keep a log of users' access to the system. The term "log" comes from the chip log which was historically used to record distance traveled at sea and was recorded in a ship's log or logbook.
In the Learning Paths methodology, a learning path is created for the entire job done by an employee. By looking at learning as a complete process rather than a single event, a learning path enables employers and employees to find new ways to drive out time, waste, and variability in training, which leads to improved results and reduced costs. [5]
In 2019, Instructure acquired Portfolium and integrated their pathways, Program Assessment, and ePortfolio network into the Canvas. Portfolium is designed to simplify the assessment of student learning, showcase evidence of knowledge, and keep students engaged along pathways to prepare them for careers.
Computer Vision Annotation Tool (CVAT) is an open source, web-based image and video annotation tool used for labeling data for computer vision algorithms. Originally developed by Intel, CVAT is designed for use by a professional data annotation team, with a user interface optimized for computer vision annotation tasks.