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From Suneel Marthi <smar...@apache.org>
Subject Re: Draft MXNet Podling report for Aug-2017
Date Tue, 01 Aug 2017 15:17:15 GMT
MxNet is not due to report for Aug 17, so we can disregard this.



On Mon, Jul 31, 2017 at 4:40 PM, Bhavin Thaker <bhavinthaker@gmail.com>
wrote:

> Hi All,
>
>
>
> Please review the Podling Report for August 2017 so that we can file on
> time. Feel free to make updates to this shared Google doc directly.
>
>
>
> https://docs.google.com/document/d/1PGhs96klZB6DXhpK9_
> biPh4-aCm8-bWwFzexnOW_GMA/edit
>
>
>
> Given below is the current snapshot of the report – it may change as
> updates are made directly to the above shared Google doc.
>
>
>
> --snip—
>
> *MXNet*
>
>
>
> MXNet is an open-source deep learning framework that allows you to define,
>
> train, and deploy deep neural networks on a wide array of devices, from
>
> cloud infrastructure to mobile devices. It is highly scalable, allowing for
>
> fast model training, and supports a flexible programming model and multiple
>
> languages. MXNet allows you to mix symbolic and imperative programming
>
> flavors to maximize both efficiency and productivity. MXNet is built on a
>
> dynamic dependency scheduler that automatically parallelizes both symbolic
>
> and imperative operations on the fly. A graph optimization layer on top of
>
> that makes symbolic execution fast and memory efficient. The MXNet library
>
> is portable and lightweight, and it scales to multiple GPUs and multiple
>
> machines.
>
>
>
> MXNet has been incubating since 2017-01-23.
>
>
>
> *Three most important issues to address in the move towards graduation:*
>
>
>
>  1. Migrate code (GitHub) and website to Apache Infra.
>
>  2. Establish a predictable release process consistent with Apache Way.
>
>  3. Grow the community.
>
>
>
> *Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be*
>
> *aware of?*
>
>
>
>   None
>
>
>
> *How has the community developed since the last report?*
>
>
>
>    1. Various Slack channels and dev@ mailing lists are being used
> actively.
>    2. A new blog published on OReilly web-site on 27-July having
>    step-by-step instructions to implement a convolutional neural network to
>    classify traffic signs with Apache MXNet:
>
> https://www.oreilly.com/ideas/classifying-traffic-signs-
> with-mxnet-an-introduction-to-computer-vision-with-neural-networks
>
>    1. A new blog post published on 28-July showing users how to exploit the
>    unique features of Apache MXNet with a cheat sheet:
>
> https://aws.amazon.com/blogs/ai/exploiting-the-unique-
> features-of-the-apache-mxnet-deep-learning-framework-with-a-cheat-sheet/
>
>
>
> *How has the project developed since the last report?*
>
>
>
>    1. The code base was migrated from http://github.com/dmlc/mxnet to
>    https://github.com/apache/incubator-mxnet on 28-July, 2017.
>    2. From a statistics perspective, 54 authors have pushed 140 commits to
>    master, with updates to 358 files including 22K additions and 3K
> deletions.
>    3. Documentation- Architecture guides, How To’s, Tutorials, and APIs
>    continue to be improved.
>    4. More features (e.g. operators, algorithms) and bug-fixes requested by
>    the user community continue to be added.
>
>
>
> *How would you assess the podling's maturity?*
>
>
>
>   Podling's still getting established in Apache - so maturity == Low.
>
>
>
> Please feel free to add your own commentary.
>
>  [X] Initial setup
>
>  [  ] Working towards first release
>
>  [  ] Community building
>
>  [  ] Nearing graduation
>
>  [X] Other: A maintenance release is being planned for August 2017
>
>
>
> *Date of last release:*
>
>
>
>  A maintenance release MXNet 0.10.0 Post 2 with few bug-fixes was released
> on 17-July, 2017.
>
>  https://github.com/apache/incubator-mxnet/releases/tag/0.10.0.post2
>
>
>
> *When were the last committers or PPMC members elected?*
>
>
>
>  Ly Nguyen added as a committer and PPMC member in June 2017.
>
>
>
> *Signed-off-by:*
>
>  [ ](mxnet) Sebastian Schelter
>
>             Comments:
>
>  [ ](mxnet) Suneel Marthi
>
>             Comments:
>
>  [ ](mxnet) Markus Weimer
>
>             Comments:
>
>  [ ](mxnet) Henri Yandell
>
>             Comments:
>
>
>
> --snip—
>
>
>
> Thanks,
>
> Bhavin Thaker.
>

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