Search Results for "vector space" - Page 3
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Showing 58 open source projects for "vector space"
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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OpManager the network monitoring software used by over 1 million IT adminsManageEngine OpManager is a powerful network monitoring software that provides deep visibility into the performance of your routers, switches, firewalls, load balancers, wireless LAN controllers, servers, VMs, printers, and storage devices. It is an easy-to-use and affordable network monitoring solution that allows you to drill down to the root cause of an issue and eliminate it.
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A working browser-based Space Game that demonstrates advanced concepts such as hexagonal navigation, vector visibility, and a message-based battle engine. Currently seeking a CVS release manager to distribute the code.
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This is a implementation of the 'enhanced Topic-based Vector Space Model' (eTVSM) using the python language. A Java-Version and maybe other java-code contributions are planned.
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CPU VectorSpace is a search engine which uses "vector-space" algorithms to achieve high performance in the searching of large text collections. The vector-space algorithms are implemented in C, which is wrapped via JNI into a Java network server.
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CRefDynGenStrArray is a fast and space efficient STL-vector(char)-based dynamic array of generic strings. Supports storing and retrieval of Pascal&C style strings, STL strings and vector(char). Provides STL algorithm adapter class.
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Ango Hub | All-in-one data labeling platformAI-Assisted features of the Ango Hub will automate your AI data workflows to improve data labeling efficiency and model RLHF, all while allowing domain experts to focus on providing high-quality data.
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An Expert Search System for Enterprise Search based on the Information Retrieval Vector Space Model. Our model builds a weighted profile for each candidate and keeps all the documents, thus allowing to retrieve both people and documents together.
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Kernel Popper bridges software parallel primitives with hardware configurations. Analyzes parallel processes in vector space to optimize usage of available GP-GPUs using OpenCL, SilverLight, and .Net resources.
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RenderStack is a support library for OpenGL 3+, currently in C++. Features currently for example basic window creation, mesh generation, wrappers for OpenGL programs, framebuffer, texture and vertex buffer objects. Predecessor: https://github.com/tksuoran/renderstack_net Successor: https://github.com/tksuoran/RenderStack