Search Results for "concept-graph.js"
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Showing 5 open source projects for "concept-graph.js"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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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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SeBase
Selenium Base Framework
...Reinventing the wheel each time sucks. Everything in this SF project are various tips & tricks that I figured out over time. Each of the files under net.sourceforge.sebase.demos is a proof of concept (POC) to get a different technology to work with Selenium. -
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Implicit BPM
An Implicit BPM approach
Implicit BPM is a platform for integrating business processes into existing core applications as if they were a whole system. It uses a novel concept, namely Workflow Weaving, based on non-intrusive techniques, which achieves this kind of integration transparently. -
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Contextor is a light-weight simple-to-use Java based library to help developers and researchers working with the general concept of a resource; as examples, resources can be text resources, web resources, images and videos.
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The GroovyStAr ("Groovy Static Analyzer") project describes a new extensible SCA tool for Java and Groovy. The extensibility is reached through a customizable set of Groovy-scripts, each representing a static source code query against the created AST.
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Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
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This project is a Proof-of-Concept for how modern programming languages are especially fit for creating code generators, considering the special requirements for composition, configuration, templating and data manipulation in code generation scenarios.
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