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Elastix is an image registration toolbox built upon the Insight Segmentation and Registration Toolkit (ITK). [2] It is entirely open-source and provides a wide range of algorithms employed in image registration problems. Its components are designed to be modular to ease a fast and reliable creation of various registration pipelines tailored for ...
Windows Terminal is a multi-tabbed terminal emulator developed by Microsoft for Windows 10 and later [4] as a replacement for Windows Console. [5] It can run any command-line app in a separate tab. It is preconfigured to run Command Prompt , PowerShell , WSL and Azure Cloud Shell Connector, [ 6 ] [ 7 ] and can also connect to SSH by manually ...
Chocolatey[5] is a machine-level, command-line package manager and installer for software on Microsoft Windows. It uses the NuGet packaging infrastructure and Windows PowerShell to simplify the process of downloading and installing software. [6] The name is an extension on a pun of NuGet (from "nougat") "because everyone loves Chocolatey nougat".
Visual Studio Code, also commonly referred to as VS Code, [9] is an integrated development environment developed by Microsoft for Windows, Linux, macOS and web browsers. [10] [11] Features include support for debugging, syntax highlighting, intelligent code completion, snippets, code refactoring, and embedded version control with Git.
HiGHS has an interior point method implementation for solving LP problems, based on techniques described by Schork and Gondzio (2020). [10] It is notable for solving the Newton system iteratively by a preconditioned conjugate gradient method, rather than directly, via an LDL* decomposition. The interior point solver's performance relative to ...
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a developer platform that allows developers to create, store, manage and share their code.It uses Git software, providing the distributed version control of Git plus access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [6]
The library is designed to reduce computing power and memory use and to train large distributed models with better parallelism on existing computer hardware. [2][3] DeepSpeed is optimized for low latency, high throughput training. It includes the Zero Redundancy Optimizer (ZeRO) for training models with 1 trillion or more parameters. [4]
OpenVINO is an open-source software toolkit for optimizing and deploying deep learning models. It enables programmers to develop scalable and efficient AI solutions with relatively few lines of code. It supports several popular model formats [2] and categories, such as large language models, computer vision, and generative AI.