Search Results for "10000"
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Showing 3 open source projects for "10000"
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From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
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Find the right caregiver for any client fast! Our database matches your caregivers with clients by skills, location, and availability. Monitor your leads and referral sources, with a complete history of your activities. You can even link your website to AdaCare's database. Keep records of all your staff, names, addresses, phone numbers, available hours, CEUs, and license expirations. Our "instant timecard" replaces paperwork, and sends alerts if caregivers are late. Less work, and better documentation. Your caregivers can sign in to view their schedules, calendars, maps, and more. Help your caregivers and your office staff. Print and export hours and mileage, for easier billing and payroll. Plus, reports and charts for managing your business. Secure and reliable, and you can work from anywhere, home, office, or in the field. Your caregivers can log in from home and print their own schedules and maps.
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Linkchecker for Markdown
Python asyncio + aiohttp Markdown *.md URL link checker
Blazing-fast (10000 Markdown files per second) Python asyncio / aiohttp based simple check of links in Markdown .md files only. This tool is very helpful for large Markdown-based Jekyll and Hugo sites as well as Markdown-based MkDocs documentation projects. It is very fast and simple. -
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Reliable Metrics for Generative Models
Code base for the precision, recall, density, and coverage metrics
Reliable Fidelity and Diversity Metrics for Generative Models (ICML 2020). Devising indicative evaluation metrics for the image generation task remains an open problem. The most widely used metric for measuring the similarity between real and generated images has been the Fréchet Inception Distance (FID) score. Because it does not differentiate the fidelity and diversity aspects of the generated images, recent papers have introduced variants of precision and recall metrics to diagnose those... -
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Visual Image Viewer
Visual Image Viewer :: Build using Python
What you will do when you need to manage all your Image files according to what they shows/represent, I am not talking about you, what I also done in past, just select Image files one by one create folder for that kind of Image files and paste into that folder. Now Using this application you just have to define from which PATH you want to work with your Image Files and that's done, and define possible categories for Image files and use your Num-pad keys from 0, 1, 2, 3, and so...
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