Showing 3 open source projects for "set"

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    PageLM

    PageLM

    PageLM is a community driven version of NotebookLM

    ...It is built to help students, educators, and researchers turn documents and topics into more engaging forms of study rather than leaving content in static notes or isolated files. The platform includes a broad set of learning tools such as contextual chat, Cornell-style note generation, flashcards, quizzes, AI podcasts, voice transcription, homework planning, exam simulation, debate practice, and a personalized study companion. It supports uploaded documents including PDF, DOCX, Markdown, and TXT, allowing users to ground questions and generated materials in source content. ...
    Downloads: 3 This Week
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  • 2
    Litmus

    Litmus

    Litmus helps SREs and developers practice chaos engineering

    ...Developers & SREs can practice Chaos Engineering with Litmus as it is easy to use, based on modern chaos engineering principles & community collaboration. It is 100% open source & a CNCF project. Litmus takes a cloud-native approach to create, manage and monitor chaos. The platform itself runs as a set of microservices and uses Kubernetes custom resources to define the chaos intent, as well as the steady-state hypothesis. A centralized chaos management tool called chaos-center helps construct, schedule, and visualize Litmus chaos workflows. Made up of a chaos agent and multiple operators that execute & monitor the experiment within a defined target Kubernetes environment.
    Downloads: 3 This Week
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  • 3
    Onda Sfasata

    Onda Sfasata

    An authentic Italian learning app.

    ...GitHub repository: https://github.com/Northstrix/onda-sfasata Check it out at: https://onda-sfasata.netlify.app/ This app is fully localized into English, Hebrew, and two dialects of German — Hochdeutsch and a mixture of Zurich and Basel dialects (approximately 64%–36%), labeled as “Schwiizerdütsch” I picked the words for this app not based on predefined categories, usage frequency, or the fluency level to which the word might correspond, but on which words could be cleanly cut from the audio tracks. As a result, the word set turned out to be a bit odd, yet unique. Every single sound used in the app, except for success.wav, error.wav, and completed.wav, was extracted from public domain recordings. The success and error sounds are covered by Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/), the completed sound is available under Creative Commons 0 License (http://creativecommons.org/publicdomain/zero/1.0/)
    Downloads: 0 This Week
    Last Update:
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