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Showing 2 open source projects for "collection"
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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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Jellyfin Android
Android Client for Jellyfin
Jellyfin Mobile is an Android app that connects to Jellyfin instances and integrates with the official web client. We welcome all contributions and pull requests! If you have a larger feature in mind please open an issue so we can discuss the implementation before you start. Even though the client is only a web wrapper there are still lots of improvements and bug fixes that can be accomplished with Android and Kotlin knowledge. -
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Booster
Optimizer for mobile applications
Booster is an easy-to-use, lightweight, powerful and extensible quality optimization toolkit designed specially for mobile applications. The primary goal is to solve quality problems with the increase of APP complexity, such as performance, stability, and package size, etc. Booster provides a collection of modules for performance detection, multithreading optimization, resources index inline, redundant resources reduction, resources compression, system bug fixing, etc. Using booster...
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