Showing results for WETS Product
GitHub Repo
https://github.com/BC12232/WETSkidmeter
BC12232/WETSkidmeter
Starter code for WETSkidmeter. Final product not available online to protect company property.
GitHub Repo
https://github.com/rneentotah/Versa-Storyboard-The-Power-of-Collaboration-in-Product-Design-
rneentotah/Versa-Storyboard-The-Power-of-Collaboration-in-Product-Design-
An innovative graduation project that introduces a dual-packaging solution for wet and dry wipes, separated by an insulating layer. This design ensures convenience and hygiene in a single, sleek package
GitHub Repo
https://github.com/warrenet/ai-productivity-os-mobile
warrenet/ai-productivity-os-mobile
Agents developed by Wet.
GitHub Repo
https://github.com/RealToughCandy/7-day-free-trial
RealToughCandy/7-day-free-trial
Tech products, services and education platforms that offer 7-day free trials. Includes software & web development, data science, SEO, security, IT, WordPress, UX/UI and more. Get your feet wet without breaking the bank!
GitHub Repo
https://github.com/GeoscienceAustralia/dea-waterbodies
GeoscienceAustralia/dea-waterbodies
DEA Waterbodies is a product that maps and monitors open waterbodies across Australia. Once a polygon set has been generated corresponding to open waterbodies, each waterbody is tracked over time to record the change in wet surface area over time.
GitHub Repo
https://github.com/gyunhwank/coupang-wet-tissue-analysis
gyunhwank/coupang-wet-tissue-analysis
Coupang wet tissue products analysis with Python
GitHub Repo
https://github.com/Bis-Bala/ga-products-workflow
Bis-Bala/ga-products-workflow
Standard workflow to have products for band statistics, wetness, true, synthetic pixels, tidal and random forests
GitHub Repo
https://github.com/tintin92/home_depot_product_tracker
tintin92/home_depot_product_tracker
track a wet/dry vac to buy when the correct price
GitHub Repo
https://github.com/JL227-ops/Update-Distributed-Product-Trend-Analysis-Pipeline
JL227-ops/Update-Distributed-Product-Trend-Analysis-Pipeline
Update the CS 4265 big data analytics project.The data sources include Amazon Electronics reviews and metadata (JSON), Google Trends data (CSV), and Common Crawl web data (WET format)
GitHub Repo
https://github.com/LuisEin/SNOW_sentinel