Search Results for "java operating system"
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Showing 4 open source projects for "java operating system"
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Keep company data safe with Chrome EnterpriseMake AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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DTDS
Data Type Definition System
DTDS is a system of definition of data types for unification of information exchange with use of different Samond Classes Library functions and for generation of source texts based on the completed data type definition -
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open-dis
Open-DIS implements the IEEE DIS protocol in multiple languages.
An open source implementation of the Distributed Interactive Simulation (IEEE-1278) standard in C++, C-Sharp, Objective-C, Java, Javascript and XML. Example applications including sending and receiving native DIS traffic, X-Plane plugin, and WebSocket/Javascript/WebGL applications. See the individual code directories for each package of interest. This project is inactive and has migrated to a GitHub project at https://github.com/open-dis -
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PiCon Picture Converter
Converts image files from one format to another format
PiCon (πCon) Picture Converter is an image converter that allows users to convert image files from one file format to another. -
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Loid is used to work with Java and Objective-C to simplify data exchange bindings. Loid can generate meta-information available at run-time. Requesting clients or applications can inference on the meta-information for data binding.
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Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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