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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Automate contact and company data extractionGenerate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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Janux is a project to port the java virtual machine directly on top of the Linux kernel using bypassing the traditional posix enviroment. This results in very fast java implementation for linux and and opportinuty to develop java based operating syste
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Virtual machine/emulator; "holding pen" for self-replicating programs written in custom RISC assembly-like language, evolving via random point mutations and periodic fitness-based cullings. Inspired (like Avida) by Thomas Ray's alife simulator, Tierra
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The Cup Programming Language is a combination compiler and VM (Virtual Machine). The language is purely procedural, though allows 'top-level' code like a scripting language.
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ClassMaker
A byte code generation library for the Java Virtual Machine
ClassMaker is a byte code generation library for the Java Virtual Machine. Unlike other byte code libraries ClassMaker deals with higher order structures, including methods, if statements, while loops and try blocks. -
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Undx is a bytecode translator, it converts the bytecode for the dalvik vm (a virtual machine for android applications) to standard java bytecode.
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Alchemist plugin
Alchemist GCC/LLVM plugin for code analysis and tuning
News: since 2015 we continue all related developments within Collective Knowledge Framework: http://github.com/ctuning/ck/wiki Alchemist plugin is a collection of plugins for GCC/LLVM for external and fine-grain code analysis and tuning. It is intended to to extract program properties for machine learning based optimization (see MILEPOST GCC); optimize programs at fine-grain level (such as unrolling, tiling, prefetching, etc); tune default optimization heuristic; gradually decompose program and detect performance or other anomalies; generate benchmarks particularly useful to train ML-based compilers. ...
