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Posted by Garima Mehra, Program Supervisor
Hero Content material of the month
Try shortlisted content material from the Google applied sciences of your selection.
Android
Contact Retailer API by Alex Styl
Contact Retailer is a contemporary API that makes entry to contacts on Android gadgets easy to make use of. It solves for probably the most frequent use circumstances and makes creating pleasant.
Customized Progress Indicator by Samson Achiaga
CustomProgressIndicator library is an easy, customizable progress indicator that offers android functions a pleasant really feel. It saves builders time by creating a singular, customizable loading view.
Flutter
Uncover an app designed to indicate details about numbers utilizing the http://numbersapi.com API. The undertaking has been written solely in Dart Language.
Cupertino Icons Gallery by Cephas Brian
Get entry to over 1,335 icons in a single centralized place – the Cupertino Icons Gallery is an open supply, cross-platform area to search out all of the icons utilized in Flutter.
Machine Studying
Probing Imaginative and prescient Transformers by Sayak Paul & Aritra Roy
Discover instruments on this repository to probe into the representations discovered by totally different households of Imaginative and prescient Transformers.
Google Cloud
Combining Google Apps Script with Google AppSheet by Aryan Irani
Learn to mix Google AppScript with Google AppSheet to make automation much more highly effective.
What an attractive stream!! by Mandar Chaphalkar
Learn to create a stream in 6 easy steps now that Google Cloud not too long ago made Datastream CDC typically out there.
Curators Nook
Meet our curators who’ve been working behind the scenes to carry you the perfect content material submissions
Android
“Android growth modifications quick and it is nice to see builders write blogs to assist others be taught.
It is a pleasure to be a part of the Android neighborhood. I get pleasure from seeing the android neighborhood. I get pleasure from seeing the Android neighborhood flourish by collaborating with one another and sharing their learnings”
Sr. Strategist, Google
Machine Studying
“We’re loving the TensorFlow.js submissions we’ve got seen to date, and have little question future ones will proceed to push the boundaries of what is potential on this area, and since it’s net powered anybody anyplace can strive the demos usually with the clicking of a hyperlink!”
Jason Mayes
Net ML Developer Relations Lead, Google
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