Showing 7 open source projects for "mobile learning (lms)"

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  • 1
    SuperImage

    SuperImage

    Sharpen your low-resolution pictures with the power of AI upscaling

    Sharpen your low-resolution pictures with the power of AI upscaling. SuperImage is a neural network-based image upscaling build with the MNN deep learning framework and the Real-ESRGAN algorithm. By leveraging the power of your device's GPU, SuperImage is able to upscale and restore the details of your images without uploading them to the internet, keeping your data secure. SuperImage is a neural network-based image upscaling application for Android built with the MNN deep learning framework...
    Downloads: 5 This Week
    Last Update:
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  • 2
    KotlinDL

    KotlinDL

    High-level Deep Learning Framework written in Kotlin

    KotlinDL is a high-level Deep Learning API written in Kotlin and inspired by Keras. Under the hood, it uses TensorFlow Java API and ONNX Runtime API for Java. KotlinDL offers simple APIs for training deep learning models from scratch, importing existing Keras and ONNX models for inference, and leveraging transfer learning for tailoring existing pre-trained models to your tasks. This project aims to make Deep Learning easier for JVM and Android developers and simplify deploying deep learning...
    Downloads: 0 This Week
    Last Update:
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  • 3
    Voice

    Voice

    Minimalistic audiobook player

    This is my digital playground where I am learning. I'm integrating and validating new technologies and ideas here, playing around with new UI / UX components, and developing with the best coding standard I have come up with. At the same time, I want to provide an audiobook player which is really easy in use and a joy to work with.
    Downloads: 0 This Week
    Last Update:
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  • 4
    mirai

    mirai

    Efficient QQ Robot support library

    mirai is a high-efficiency robot library that runs on all platforms and provides QQ Android protocol support. mirai is completely free and open-source software for learning and entertainment use only. mirai will not impose fees or impose material conditions on users in any way. mirai is maintained by the entire open source community and is not the work of an individual. All contributors enjoy the copyright of their work. If citing a package published by mirai without modifying mirai, derived...
    Downloads: 0 This Week
    Last Update:
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  • 5
    Amazon Chime SDK for Android

    Amazon Chime SDK for Android

    An Android client library for integrating multi-party communications

    The Amazon Chime SDK for Android makes it easy to add collaborative audio calling, video calling, and screen share viewing features to Android applications by using the same infrastructure services that power meetings on the Amazon Chime service. This Amazon Chime SDK for Android 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 Android application,...
    Downloads: 0 This Week
    Last Update:
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  • 6
    SurvivalManual

    SurvivalManual

    Libre Survival Manual for Android with offline in mind

    This is a survival manual/guide based on the public domain US Army Survival Field Manual FM 3-05.70 (FM 21-76). It is fully functional offline, which is important in the case of a catastrophe. But it doesn't have to be used only in emergency situations, it can also be useful for outdoor trips, walks, camps, and learning about nature and yourself truly. This is not only fun, but you can also train skills (fire, build shelter, ...) that you may need in a catastrophe. Some things work best...
    Downloads: 0 This Week
    Last Update:
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  • 7
    Bullet

    Bullet

    JVM Bullet Physics SDK

    Bullet is real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. Jvm port of Bullet, by Erwin Coumans. Take a look at the tests to see what has been ported and tested to be working. A high-end desktop GPU, such as an AMD Radeon 7970 or NVIDIA GTX 680 or better. We succesfully tested the software under Windows, Linux and Mac OSX. The software currently doesn't work on OpenCL CPU devices. It might run on a laptop GPU...
    Downloads: 2 This Week
    Last Update:
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