Search Results for "virtual machine plugins" - Page 2
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Showing 31 open source projects for "virtual machine plugins"
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Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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OpenEMS™ is the multi platform Grid framework to seamlessly aggregate all your multi platform resources into a virtual super computer.
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YABI93 is an Interpreter for the esoteric programming language Befunge, version "Befunge93". It is written in Java 1.5 and uses Swing for its graphical interface. YABI supports a multilanguage GUI.
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The Wolfram Machine project is an effort to create a set of documentation and useful modules (both hardware and software) for a computing architecture based on the mathematical theories presented in Steven Wolfram's book _A_New_Kind_of_Science_.
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The OS561 operating system based around FORTH/Java. The OS is to run on a VHDL chip OpenHardware design called the Minon, but could become available for other platforms. The unique point of the design is a revolutionary data compression technology.
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Nonprofit Budgeting SoftwareMartus' collaborative and easy-to-use budgeting and reporting platform will save you hundreds of hours each year. It's designed to make the entire budgeting process easier and create unlimited financial transparency.
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JCalc is GUI calculator written entirely in Java. It can be run cross-platform on any OS with a Java Virtual Machine. It shall be portable, stable, and efficient.
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Supertagger
Software for assigning supertags.
Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.
