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Posted by Garima Mehra, Program Supervisor
Hero Content material of the month
Take a look at 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 instances and makes growing pleasing.
Customized Progress Indicator by Samson Achiaga
CustomProgressIndicator library is an easy, customizable progress indicator that provides android purposes a pleasant really feel. It saves builders time by creating a singular, customizable loading view.
Flutter
Uncover an app designed to point out info about numbers utilizing the http://numbersapi.com API. The challenge 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 seek 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 completely different households of Imaginative and prescient Transformers.
Google Cloud
Combining Google Apps Script with Google AppSheet by Aryan Irani
Discover ways to mix Google AppScript with Google AppSheet to make automation much more highly effective.
What a ravishing stream!! by Mandar Chaphalkar
Discover ways 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 convey you one of the best content material submissions
“Android improvement adjustments quick and it is nice to see builders write blogs to assist others study.
It is a pleasure to be a part of the Android neighborhood. I take pleasure in seeing the android neighborhood. I take pleasure in 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 have now seen up to now, and have little question future ones will proceed to push the boundaries of what is doable on this area, and since it’s net powered anybody wherever can strive the demos usually with the press of a hyperlink!”
Jason Mayes
Net ML Developer Relations Lead, Google
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