Search Results for "image sort"
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Showing 4 open source projects for "image sort"
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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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CopyQ
Clipboard manager with advanced features
CopyQ is advanced clipboard manager with searchable and editable history with support for image formats, command line control and more. -
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LAVA for AFM
Lloyd's Algorithm-based Volumetric Analysis for AFM Images
This MATLAB-based program enables analysis of AFM images. In particular, it allows the user to measure the volume of all distinguishable features in an image and to isolate and sort those particles. As the name implies, LAVA uses Lloyd's Algorithm, also known as k-means sorting, to identify a small set of volumes representative of the actual distribution of particle in the image. Although developed for determining feature volume, LAVA is also completely compatible with other types of image analysis, such as fluorescence intensity. ... -
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An expandable Visual Integration Tool subdivided in many plugins: Input (Parsers, Db Readers), File Filters(sort file, reduce duplication), Column Filters (format of dates, Zip Code, duplication, join, split) and OutPut Writers(Db tables, csv).
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FAX GUI in Perl/Tk for receiving/sorting FAXes. Works with mgetty. Uses cups/gs/lpr for printing. Designed to be simple enough for an untrained secretary and FAST. Can handle 100's of FAXes every day. Sort the junk/spam FAXes out! Archives printed FAXes
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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