Open Source Lisp Information Analysis Software
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Lisp Information Analysis Software
View 2695 business solutionsBrowse free open source Lisp Information Analysis Software and projects below. Use the toggles on the left to filter open source Lisp Information Analysis Software by OS, license, language, programming language, and project status.
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Deliver secure remote access with OpenVPN.OpenVPN's products provide scalable, secure remote access — giving complete freedom to your employees to work outside the office while securely accessing SaaS, the internet, and company resources.
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Sales CRM and Pipeline Management Software | PipedrivePipedrive’s simple interface empowers salespeople to streamline workflows and unite sales tasks in one workspace. Unlock instant sales insights with Pipedrive’s visual sales pipeline and fine-tune your strategy with robust reporting features and a personalized AI Sales Assistant.
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Lush is a Lisp dialect with extensions for object-oriented and array-oriented programming. Lush is intended for prototyping numerically intensive applications and is designed for easy integration of existing C/C++/Fortran codes.
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SKESD stands for "Structured Knowledge: Entry, Search and Display". The aim of the project is to create a cross between a Wiki and an AI knowledge representation system.
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ScenConnect shows scenarios as networks of situation and event tag sets, for fast comparisons. It links scenarios to tags, scores, and other metadata, creating situationals suitable for search, mining, machine learning, and planning.
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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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cl-cc-bnc provides a frontend to learners of English language. You can enter an URI, which will be analyzed word-frequency-wise and compared to word frequencies in the British National Corpus.
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