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Showing 3 open source projects for "documentation"
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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No-Nonsense Code-to-Cloud Security for Devs | AikidoAikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
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Orange Data Mining
Orange: Interactive data analysis
Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for... -
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ParaSim
Parallelized calculation of molecular similarities
... queried datasets as persistant objects in memory for short response times. ParaSim calculates chemical similarities based on binary structural fingerprints. It does not compute fingerprints by itself but relies on third party software to do so. Basically, all types of structural fingerprints which can be stored in an array of bits (a bitset) can be used by ParaSim. See the Wiki (https://sourceforge.net/p/parasim/wiki/Documentation/) for detailed documentation. FEEDBACK HIGHLY APPRECIATED! -
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ExpLab is a set of tools that supports the running, documentation and evaluation of computational experiments.
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