UWPCore: A development acceleration framework for the Universal Windows Platform

Since it has proven stability and reliability in two successful Windows 10 project for more than a year, we thought about to open source our service-driven framework. Even when it has not reached version 1.0 yet, you can nevertheless use it for your next project right now. Check out the UWPCore Framework on Github. I developed this framework in course of the last year together with my friend Patrick Mutter.


More information about the framework is written down on the landing page of the repository. It even includes a short description of how to get started. In case you use our framework, and consider any kind of problem or bug, feel free to either open an issue on Github, or via a pull request.

Comments

  1. Berat CanJuly 27, 2021 at 2:14 AM

    kayseriescortu.com - alacam.org - xescortun.com

    ReplyDelete
  2. Mike JohnsonSeptember 24, 2021 at 8:15 AM

    instagram takipçi satın al
    instagram takipçi satın al
    takipçi satın al
    instagram takipçi satın al
    takipçi satın al
    aşk kitapları
    tiktok takipçi satın al
    instagram beğeni satın al
    youtube abone satın al
    twitter takipçi satın al
    tiktok beğeni satın al
    tiktok izlenme satın al
    twitter takipçi satın al
    tiktok takipçi satın al
    youtube abone satın al
    tiktok beğeni satın al
    instagram beğeni satın al
    trend topic satın al
    trend topic satın al
    youtube abone satın al
    beğeni satın al
    tiktok izlenme satın al
    sms onay
    youtube izlenme satın al
    tiktok beğeni satın al
    sms onay
    sms onay
    perde modelleri
    instagram takipçi satın al
    takipçi satın al
    tiktok jeton hilesi
    pubg uc satın al

    ReplyDelete
  3. Mike JohnsonSeptember 24, 2021 at 8:18 AM

    Do you want to make a video about this framework and publish it on youtube? From here https://soclikes.com you can get many likes and views for your video

    ReplyDelete
  4. Ahmet GedikJanuary 12, 2022 at 7:28 AM

    uşak eskort
    kilis eskort
    osmaniye eskort
    siirt eskort
    muş eskort
    bartın eskort
    sivas eskort
    şile eskort
    ayvalık eskort
    sultangazi eskort

    ReplyDelete
  5. Ahmet GedikJanuary 12, 2022 at 7:28 AM

    kütahya eskort
    çankırı eskort
    afyon eskort
    burdur eskort
    çorum eskort
    bilecik eskort
    amasya eskort
    yalova eskort
    çorlu eskort
    şile eskort

    ReplyDelete
  6. Jale KJanuary 28, 2022 at 2:59 PM

    alanya eskort

    afyon eskort

    amasya eskort

    bayburt eskort

    yozgat eskort

    ataköy eskort

    düzce masöz

    manisa masöz

    izmit masöz

    görükle masöz

    ReplyDelete
  7. AnonymousMay 2, 2022 at 4:38 AM

    mmorpg oyunlar
    instagram takipçi satın al
    tiktok jeton hilesi
    tiktok jeton hilesi
    antalya saç ekimi
    referans kimliği nedir
    İNSTAGRAM TAKİPÇİ SATIN AL
    metin2 pvp serverlar
    TAKİPÇİ SATIN AL

    ReplyDelete
  8. AnonymousMay 18, 2022 at 2:40 AM

    Yeni perde modelleri
    numara onay
    mobil ödeme bozdurma
    nft nasıl alınır
    Ankara Evden Eve Nakliyat
    trafik sigortasi
    dedektör
    web sitesi kurma
    aşk kitapları

    ReplyDelete

Post a Comment

Popular posts from this blog

Benchmarking Tensorflow Performance on eGPU

Image
In the last post, I wrote about how to setup an eGPU on Ubuntu to get started with TensorFlow. I shortly mentioned that a eGPU is definitely worth it for Machine Learning, but I did not tell any numbers. This article tries to catch up on that. There are a gazillion benchmarks already out there about GPU gaming performance. A handful of them also include eGPU benchmarks, like this one for example. One important thing that that these eGPU benchmarks show is that the use of an external display is from benefit, because otherwise the Thunderbolt 3 port becomes a bigger bottleneck. This is due to the fact that each rendered frame has be sent back to the internal display, which consumes valuable bandwidth of the 40 Gbps Thunderbolt 3 connection. However, there is no alternative for using an eGPU for Machine Learning, because the computed gradients have to be sent back to the CPU. Talking about Machine Learning, there are a few articles our official benchmarks about TensorFlow performanc...
Read more

Setup Dell C1660W printer in Ubuntu

To be honest, this post is more or less a self-memo for myself. Nevertheless, this might be still helpful for others. While drivers for almost every hardware components or peripheral devices are automatically detected and installed in Windows, this is often not the case in Ubuntu. For instance, my Dell C1660W printer was not working in a plug & play fashion on Ubuntu 17.10. In order to setup this printer, I had to do the following steps: 1. Add a device in Settings > Devices > Printers 2. Download and install the Xerox Phaser 6000 drivers 3. Open the Printer Details of the printer added earlier 4. The the Xerox Phaser 6000B v1.0 driver using Select form Database... The printer is now ready to use. However, the driver does not fully work as expected. As an example, after every printing job, I have to restart the printer. Otherwise, the printer is simply rejecting the job, or it prints the job with some minutes delay outta nowhere.
Read more

How to setup an eGPU on Ubuntu for TensorFlow

Image
I remember when I read about eGPUs for the first time. The symbiosis of having a light weight laptop at university or on the go, but still having a desktop like power horse when having some spare-time at home sounded like a dream. But everything faded into obscurity because I almost lost full interest into gaming the last years. But this changed, since I'm spending a lot of time in deep learning since about two years. And it's well known that taking advantage of a GPU boosts training time by a huge margin. That's why I tried to get access to a high-performance graphics card in order to be able to train non-trivial networks and so some more serious research. At first, I had a look at some offers in the cloud. I did not try out a GPU-enabled instance on AWS, because the use a billing based on a hourly rate. This means that you have to pay for a full hour, even when you just run a simple example for 1 minute. Next, I checkout out the 300$ free credit on Google compute engi...
Read more