Search Results for "c# source code example"
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Showing 4 open source projects for "c# source code example"
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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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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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FrostWire
Search, Download, Play, Share on Bittorrent and the cloud
FrostWire https://www.frostwire.com/ is a media player, Video Downloader and Peer to Peer (P2P) information sharing client for the BitTorrent network. This project is not affiliated with LimeWire LLC. FrostWires' source code is Licensed under the GNU GPL and Apache Open Source licenses. System Requirements Any of the following operating systems: ● Windows 10, 8, 7, Vista for Intel processors (64-bit only) ● Mac OS X 10.11 (El Capitan) or later (64-bit) ● Linux, Unix... -
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Java version of eDonkey network client with some nice features (http control, bandwidth scheduling etc). Will be based on eMule.sf.net code. (jMule, eMuleJ, eMuleJava)
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Currently all the samples are included in the Noir release found at http://sf.net/projects/noir/. One graphical sample of interest, is a BMPloader that loads 24bit bitmaps, written on only one page in using the Noir Framework. Noir is Not Useless (NINU)
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The idea behind Codester is simple. Provide a free source code and document sharing application that uses a P2P (peer 2 peer - see http://www.openp2p.com) network protocol. (it works similar to Napster)
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Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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