Search Results for "ui" - Page 37
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Showing 911 open source projects for "ui"
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Institute of Technology, Blanchardstown Computer Science code by the class of 2007-2011 on course BN104. In this project we are open sourcing all of our project work to the public in the hopes it can be reused, built-upon, and used in education.
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Agaseous-NES is a graphic app for creating integrated circuit layers. Developers can import Agaseous for SuperWikia Alpha .AJA (Agaseous Joint Application) text files to automate & create asauna plates. Also imports and intergrate Adobe .PSD files.
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PBADEV gathers lessons learned making GIMPVS available on Windows platforms and Makes Blender available together with GIMP on Microsoft Windows Platforms. PBADEV aims at providing the highest quality softwares to artists and developers.
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Energy Consumption Overview With Integrated Notifications Is a framework for monitoring energy consumption with web ui,
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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GenEpiO
The Genomic Epidemiology Ontology covers food-borne disease terms
Here we introduce a Genomic Epidemiology Ontology (GenEpiO) that covers vocabulary necessary to identify, document and research food-borne pathogens and associated outbreaks. We envision various subdomains including genomic laboratory testing, specimen and isolate metadata, and epidemiological case investigations. The project files are currently hosted at https://github.com/GenEpiO/genepio/ . Here we provide the genepio-consortium@lists.sourceforge.net listserve. Terms for these subdomains... -
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Advanced directory compare tool in Python. With a user-friendly UI including a splitter window and two directory trees. This project has been moved to http://code.google.com/p/dircompare/
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mdadm-gui
Front-end UI for mdadm
Graphical user interface to create and maintaining mdadm software raid arrays. Create, test, mount and delete arrays. . Current status: Planning/Concept Project as yet contains no code yet (pending) -
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Self‑Healing Localization
Self‑Healing Localization is a lightweight Python library.
Self-Healing Localization Layer (SHL) is a Python localization engine that automatically creates, synchronizes, and maintains language files throughout the lifetime of your application. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Auto-Typer-Zer0
Only Auto Typer with Text and Code typing modes to ensure perfection.
... - Code Typing Mode: Supports Python, Java, and C/C++ with options to remove comments and fix indentation. - Super Speed Mode: Type up to 100 lines in under 10 seconds. Customizable Speed & Dark Theme UI: Adjust typing speed and enjoy an aesthetic interface. # Upcoming Features: Swift and C# app versions and a remote typing feature for Codetantra SEA. #Known issues include minor macOS quirks and collapsible text field behavior, with fixes planned in future updates. -
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ExoPlanet
GUI based toolkit for running common Machine Learning algorithms.
ExoPlanet provides a graphical interface for the construction, evaluation and application of a Machine Learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve, allowing researchers to focus on the applicative aspect of Machine Learning rather than their implementation details. It provides algorithms for unsupervised and supervised learning, which may be done with continuous or discrete labels. ...
