Search Results for "mobile learning (lms)"

The Amazon Chime SDK for iOS makes it easy to add collaborative audio calling, video calling, and screen share viewing features to iOS applications by using the same infrastructure services that power meetings on the Amazon Chime service. This Amazon Chime SDK for iOS works by connecting to meeting session resources that you have created in your AWS account. The SDK has everything you need to build custom calling and collaboration experiences in your iOS application, including methods to:...

... communication, or data models. This modular approach allows for easier collaboration and ensures that the code is organized and easy to understand. It's a great starting point for learning SwiftUI. The app covers many of the basic concepts of SwiftUI, such as building layouts, working with data, and handling user interaction. By exploring the code, you can gain a solid understanding of how to use SwiftUI in your daily life.

With the AR MultiPendulum app, I created the world’s first AR headset experience that does not rely on expensive specialized hardware. Using Google Cardboard, a standard iPhone, and video footage from the phone’s camera, the app creates an AR headset experience by rendering the user’s surroundings in VR. Augmented reality (AR) is a technology that overlays virtual objects over the real world. For years, AR experiences have been available on smartphones through handheld AR apps. In 2016,...

Laundy Managament System (LMS Version 3.0) is a better solutions for Small Laundry and Dry Cleaning business with increased security from SQL injection, vulnerability and hackers. Its user friedly Laundry POS Screen Application. We are team of talanted designers and developers making user friendly softwares to grow your small laundry and dry cleaning business digitally without spending a lot of money. You can download free laundry software here for developers. you can check it here...

.... Either way, it just takes a few minutes. Bender suports the most common ML nodes and layers but it is also extensible so you can write your own custom functions. With Core ML, you can integrate trained machine learning models into your app, it supports Caffe and Keras 1.2.2+ at the moment. Apple released conversion tools to create CoreML models which then can be run easily. Finally, there is no easy way to add additional pre or post-processing layers to run on the GPU.

Easy to use and highly customizable charts library for iOS Swift 1.2, iOS 7/8. Swift 2.0 branch (latest test on XCode 7 beta 3).