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MindSpore Source Code

  • Huawei open sources MindSpore: claims to provide 'all-scenario AI computing framework'

    Huawei made a series of important announcements at the Huawei Developer Conference 2020 (Cloud) – HDC.Cloud, on March 28, notably that MindSpore, the all-scenario AI computing framework, goes open source on Gitee, and that ModelArts Pro, the first-ever AI app development suite for enterprises, goes live on HUAWEI CLOUD. Huawei also showcased some of the significant applications for Huawei's Atlas AI computing platform, on the cloud, edge, and devices. In doing so, Huawei has delivered the full-stack, all-scenario AI solutions for developers that it had first unveiled at HUAWEI CONNECT 2018.

  • Huawei open-sources AI framework MindSpore to rival Google’s TensorFlow

    China’s Huawei Technologies Co. Ltd. today said it has open-sourced a framework for artificial intelligence-based application development called MindSpore. First revealed last year, MindSpore is an alternative to well known AI frameworks such as Google LLC’s TensorFlow and Facebook Inc.’s PyTorch. It can scale across devices, cloud and edge environments, Huawei said in a statement. The code is now available to download on GitHub and Gitee.

  • Huawei open-sources TensorFlow competitor MindSpore
  • Huawei Makes TensorFlow Competitor MindSpore Open Source

    Huawei has made its MindSpore AI framework open source. The Chinese tech giant is competing with the well-known AI frameworks from Google and Facebook, with a large number of advantages that ‘Ai algorithms as-a-code’ can provide. In a statement, the Chinese tech giant states that its MindSpore AI framework is suitable for developing AI applications. The AI ​​framework – co-developed with universities in Beijing and the United Kingdom and with a Turkish start-up – can easily be rolled out in various environments, such as on devices, within (multi) cloud and edge environments. Huawei launched the new AI framework last year in conjunction with the Ascend 910 processor. The AI ​​chip provides 256 teraflops of computing power on FP16, and that at a power consumption of 350 watts. With MindSpore and the Ascend 910 in addition to that new chip, the company has the most important components in the hands of a full AI stack.

Debian: RcppSimdJson, Opinionated IkiWiki and More

  • Dirk Eddelbuettel: RcppSimdJson 0.0.4: Even Faster Upstream!

    A new (upstream) simdjson release was announced by Daniel Lemire earlier this week, and my Twitter mentions have been running red-hot ever since as he was kind enough to tag me. Do look at that blog post, there is some impressive work in there. We wrapped up the (still very simple) rcppsimdjson around it last night and shipped it this morning. RcppSimdJson wraps the fantastic and genuinely impressive simdjson library by Daniel Lemire. Via some very clever algorithmic engineering to obtain largely branch-free code, coupled with modern C++ and newer compiler instructions, it results in parsing gigabytes of JSON parsed per second which is quite mindboggling. For illustration, I highly recommend the video of the recent talk by Daniel Lemire at QCon (which was also voted best talk). The best-case performance is ‘faster than CPU speed’ as use of parallel SIMD instructions and careful branch avoidance can lead to less than one cpu cycle use per byte parsed.

  • Jonathan Dowland: Opinionated IkiWiki

    For various personal projects and things, past and present (including my personal site) I use IkiWiki, which (by modern standards) is a bit of a pain to set up and maintain. For that reason I find it hard to recommend to people. It would be nice to fire up a snapshot of an existing IkiWiki instance to test what the outcome of some changes might be. That's cumbersome enough at the moment that I haven't bothered to do it more than once. Separately, some months ago I did a routine upgrade of Debian for the web server running this site, and my IkiWiki installation broke for the first time in ten years. I've never had issues like this before.

  • Thorsten Alteholz: My Debian Activities in March 2020

    This month I accepted 156 packages and rejected 26. The overall number of packages that got accepted was 203.

Python Programming

  • Python 2.7.8 : Using python scripts with Revit Dynamo.

    Dynamo is a visual programming tool that extends the power of the Revit by providing access to Revit API (Application Programming Interface. Dynamo works with node, each node have inputs and outputs and performs a specific task. This is a short tutorial about how you can use your python skills with Revit and Dynamo software.

  • Getting started with Django middleware

    Django comes with a lot of useful features. One of them is middleware. In this post I'll give a short explanation how middleware works and how to start writing your own.

  • Talk Python to Me: #258 Thriving in a remote developer environment

    If you are listening to this episode when it came out, April 4th, 2020, there's a good chance you are listening at home, or on a walk. But it's probably not while commuting to an office as much of the world is practicing social distancing and working from home. Maybe this is a new experience, brought upon quickly by the global lockdowns, or maybe it's something you've been doing for awhile. Either way, being effective while working remotely, away from the office, is an increasingly valuable skill that most of us in the tech industry have to quickly embrace. On this episode, I'll exchange stories about working from home with Jayson Phillips. He's been writing code and managing a team from his home office for years and has brought a ton of great tips to share with us all.

  • How TO GET STARTED WITH Machine Learning
  • Weekly Python StackOverflow Report: (ccxxii) stackoverflow python report

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