Showing 4 open source projects for "position"

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  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

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  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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  • 1
    GNSS-SDR

    GNSS-SDR

    An open source software-defined GNSS receiver

    An open source software-defined Global Navigation Satellite Systems (GNSS) receiver written in C++ and based on the GNU Radio framework.
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    Downloads: 1,367 This Week
    Last Update:
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  • 2
    hubs-research-acm-chi-2021

    hubs-research-acm-chi-2021

    Supplemental code and dataset for the ACM CHI 2021 paper

    ...Recent advances, such as more open and widely available platforms, create new possibilities to observe and analyze interaction in VEs. Using a custom instrumented build of Mozilla Hubs to measure position and orientation, we conducted an academic workshop to facilitate a range of typical workshop activities. We analyzed social interactions during a keynote, small group breakouts, and informal networking/hallway conversations.
    Downloads: 0 This Week
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  • 3
    wav2letter++

    wav2letter++

    Facebook AI research's automatic speech recognition toolkit

    ...All results reproduction must use Flashlight <= 0.3.2 for exact reproducibility. At least one of LZMA, BZip2, or Z is required for LM compression with KenLM. It is highly recommended to build KenLM with position-independent code (-fPIC) enabled, to enable python compatibility. After installing, run export KENLM_ROOT_DIR=... so that wav2letter++ can find it. This is needed because KenLM doesn't support a make install step.wav2letter++ expects audio and transcription data to be prepared in a specific format so that they can be read from the pipelines. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    jSulfoQuant

    jSulfoQuant

    Sb/(Sb+As) content ratio determination of the sulfosalts minerals

    A computer program for a fast and accurate determination of Sb/(Sb+As) content ratio in the tetrahedrite-tennantite and bournonite-seligmannite solid solution series by at least one spectral parameter (band position or relative intensity) of their Raman spectra.
    Downloads: 0 This Week
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  • Turn traffic into pipeline and prospects into customers Icon
    Turn traffic into pipeline and prospects into customers

    For account executives and sales engineers looking for a solution to manage their insights and sales data

    Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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