Showing 3 open source projects for "high performance computing"

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  • Stop vibe-debugging. Icon
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    Plug Claude into your app's actual errors.

    AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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  • 1
    Moonshine Voice

    Moonshine Voice

    Fast and accurate automatic speech recognition (ASR) for edge devices

    ...The toolkit also includes specialized model variants, including monolingual options that improve accuracy for specific languages. Overall, moonshine serves developers building privacy-conscious, on-device voice interfaces that demand high performance with minimal resource overhead.
    Downloads: 14 This Week
    Last Update:
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  • 2
    Coqui STT

    Coqui STT

    The deep learning toolkit for speech-to-text

    ...With text-to-speech, experience the immediacy of script-to-performance. Cast from a wide selection of high-quality, directable, emotive voices or clone a voice to suit your needs. With Coqui text-to-speech, production times go from months to minutes.
    Downloads: 1 This Week
    Last Update:
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  • 3
    TTS

    TTS

    Deep learning for text to speech

    TTS is a library for advanced Text-to-Speech generation. It's built on the latest research, was designed to achieve the best trade-off among ease-of-training, speed, and quality. TTS comes with pre-trained models, tools for measuring dataset quality, and is already used in 20+ languages for products and research projects. Released models in PyTorch, Tensorflow and TFLite. Tools to curate Text2Speech datasets underdataset_analysis. Demo server for model testing. Notebooks for extensive model...
    Downloads: 1 This Week
    Last Update:
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