Search Results for "glm-5"
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Showing 6 open source projects for "glm-5"
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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RANGE: produce random genetic transcription networks in the NEMO language, which when compiled outputs models in Systems Biology Markup Language. Generate synthetic microarray data, or use NEMO alone to SBML-ize a network, or visualize it in cytoscape.
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JSEXT is a framework for JavaScript for server scripts, web servers and web clients. Seamlessly integrates C libraries with JavaScript code. Based on this, JSEXT provides support for fastcgi, MySQL, SQLite, FTP, SMTP, HTTP and more.
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Given YACC-like and LEX-like input files, yagg generates a C++ program that generates all strings of a user-specified length. yagg is easy to use, and provides a means of generating test inputs or validating a parser grammar by inspecting the strings.
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Tools 'A' are tools for developing C/C++ applications. For further informations please have a look at http://yaka.ensiie.fr/ta/
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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The CCC Language is yet another programming language. It is platform-independent, compact, and robust. Supports many SQL engines, has own ISAM DB engine, has terminal mode and more UI-s, is object-oriented, but it is compiled and not interpreted.
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A parsing toolkit that supports both top-down (LL(1) and Simple Precedence) and bottom-up parsing (LR(0), SLR(1), LR(1) and LALR(1)). The toolkit supports generating Java parsers for all the bottom-up parsing methods, based on a CUP definition.
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