Showing 2 open source projects for "tau-analyzer-setup"

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    Vibes don’t ship, Retool does

    Start from a prompt and build production-ready apps on your data—with security, permissions, and compliance built in.

    Vibe coding tools create cool demos, but Retool helps you build software your company can actually use. Generate internal apps that connect directly to your data—deployed in your cloud with enterprise security from day one. Build dashboards, admin panels, and workflows with granular permissions already in place. Stop prototyping and ship on a platform that actually passes security review.
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    Outgrown Windows Task Scheduler?

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  • 1
    Email to Calendar Event ETE

    Email to Calendar Event ETE

    The python App/Skrypt automaticly add important events into calendar.

    ...Fuly tested on Seznam.cz* services provider, if you have difrent provier with same type of security or autentification it will be working. *Email is using standart IMAP *Calendaruse iCalendar api and aut method. Setup: 1. Download and unpack archyve 2. Download model** and put into same folder as main.py 3. Run run_setings.bat and set your authentificators for email*** and calendar, time of peridical start 4. Push button SAVE 5. Push button Plan 6. Check if working **Model must understand your language, test before use! ***In emal seting(usualy on web) create a new folder and set auto COPY! ...
    Downloads: 0 This Week
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  • 2
    Acharya

    Acharya

    A Data Centric annotation tool for your Named Entity Recognition

    A data-centric annotation tool to increase the accuracy of your Named Entity Recognition projects which helps rapidly identify and fix labeling errors in your dataset. Import/export datasets in multiple formats, train a model and use it to aid in the annotation process. Setup an MLOps pipeline to experiment with different algorithms on the same data and increase their accuracy and performance in a data-centric way. Installation and Setup for Acharya are not required, Acharya runs the initial setup when run for the first time. Rapidly identify and fix labeling errors in your dataset. Import/export datasets in multiple formats, train a model and use it to aid in the annotation process. ...
    Downloads: 0 This Week
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