Showing 2 open source projects for "network fast"

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  • Build Data Resilience - Take the Assessment Today Icon
    Build Data Resilience - Take the Assessment Today

    Can you recover when it matters most? Take this quick assessment to identify gaps and build greater recovery confidence.

    Is your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
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  • Paessler - Monitor Your Whole Network in Minutes Icon
    Paessler - Monitor Your Whole Network in Minutes

    Auto-discovery finds your devices and deploys pre-configured sensors instantly. No project plan required, just visibility from day one.

    Waiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
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    Osenpa Clipboard Manager

    Osenpa Clipboard Manager

    Search, organize and reuse clipboard history on Windows

    Current official release: 2.0.2. Windows 10 2004+ or Windows 11 (x64). Osenpa Clipboard Manager is a free, closed-source Windows app for finding and reusing supported text, links, images and file references copied on your PC. Search local history, organize Favorites, pins, tags and Smart Collections, and arrange sequential pastes with Clipboard Stack. Locked Notes encrypts selected text; ordinary clipboard history is not encrypted. Retention is configurable, and privacy filters start off....
    Downloads: 0 This Week
    Last Update:
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  • 2
    jieba

    jieba

    Stuttering Chinese word segmentation

    ...Precise mode, which tries to cut the sentence most precisely, suitable for text analysis. Full mode, scans all the words that can be formed into words in the sentence, the speed is very fast, but the ambiguity cannot be resolved. The search engine mode, on the basis of the precise mode, divides the long words again to improve the recall rate, which is suitable for word segmentation in search engines. The paddle mode uses the PaddlePaddle deep learning framework to train the sequence labeling (bidirectional GRU) network model to achieve word segmentation. ...
    Downloads: 2 This Week
    Last Update:
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