Showing 3 open source projects for "ns-2"

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    UForm

    UForm

    Multi-Modal Neural Networks for Semantic Search, based on Mid-Fusion

    ...Early-fusion models encode both modalities jointly so they can take into account fine-grained features. Usually, these models are used for re-ranking relatively small retrieval results. Mid-fusion models are the golden midpoint between the previous two types. Mid-fusion models consist of two parts – unimodal and multimodal.
    Downloads: 1 This Week
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  • 2
    LEANN

    LEANN

    Local RAG engine for private multimodal knowledge search on devices

    LEANN is an open source system designed to enable retrieval-augmented generation (RAG) and semantic search across personal data while running entirely on local devices. It focuses on dramatically reducing the storage overhead typically required for vector search and embedding indexes, enabling efficient large-scale knowledge retrieval on consumer hardware. LEANN introduces a storage-efficient approximate nearest neighbor index combined with on-the-fly embedding recomputation to avoid storing...
    Downloads: 2 This Week
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  • 3

    MyMedia Peer: Mobile P2P Media Services

    Jointly search, share and experience media in mobile P2P networks

    ...An implementation for mobile Android devices is given, which comprises the components: - semantic service selector iSeM (1.1) - semantic service planner OWLS-XPlan 2 - semantic search and replication in P2P networks: S2P2P and DSDR The MyMedia Peer, mobile service selector iSeM (1.1), S2P2P and DSDR were developed by Patrick Kapahnke, Xiaoqi Cao and PD Dr. Matthias Klusch at the German Research Center for Artificial Intelligence DFKI GmbH (http://www.dfki.de) in Saarbrücken, Germany. ...
    Downloads: 0 This Week
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